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【读书笔记】数据出现多重共线性情况：岭回归，lasso回归，适应性lasso回归，偏最小二乘回归

# 2.2.3 数据出现多重共线性情况：岭回归，lasso回归，适应性lasso回归，偏最小二乘回归
# 有一些关于多重共线性的度量，其中之一是容忍度(tolerance)或（等价的）方差膨胀因子(variance inflation factor, VIF),而另一个是条件数(condition number),
# 容忍度太小（按照一些文献，比如小于0.2或0.1）或者VIF太大（比如大于5或者10则有多重共线性问题
# 这里介绍常用的处理多重共线性的集中方法，包括岭回归(ridge regression),lasso回归，适应性lasso回归，及偏最小二乘回归(partial least squares regression 或PCR)
# 例2.3 糖尿病数据
# 首先，我们来看共线性问题，VIF可以通过R程序包car的函数vif（）得到，条件数k则可以从R固有的函数kappa()得到。
# 下面在计算VIF时使用数据x2.与这些计算有关的代码如下：
w=read.csv("E:\\资料\\学习\\R语言读书笔记汇总\\吴喜之老师\\复杂数据统计方法_基于R的应用2nd\\读书笔记\\第二章\\diabetes.csv")
# w[,1:10]为x，w[,11]为y，而w[,12:75]为x2
kappa(w[,12:75]) #x2的条件数
## [1] 11427
library(car) #包含vif的包
vif(lm(y~.,w[,11:75]))
## x2.age x2.sex x2.bmi x2.map x2.tc x2.ldl
## 1.515e+00 1.503e+00 2.526e+00 1.852e+00 1.295e+06 1.000e+06
## x2.hdl x2.tch x2.ltg x2.glu x2.age.2 x2.bmi.2
## 1.808e+05 2.685e+01 1.400e+05 1.749e+00 1.703e+00 2.448e+00
## x2.map.2 x2.tc.2 x2.ldl.2 x2.hdl.2 x2.tch.2 x2.ltg.2
## 1.812e+00 1.759e+04 1.001e+04 8.929e+02 1.300e+02 1.056e+03
## x2.glu.2 x2.age.sex x2.age.bmi x2.age.map x2.age.tc x2.age.ldl
## 3.127e+00 1.902e+00 2.237e+00 2.055e+00 1.344e+02 8.631e+01
## x2.age.hdl x2.age.tch x2.age.ltg x2.age.glu x2.sex.bmi x2.sex.map
## 2.779e+01 1.561e+01 1.767e+01 2.280e+00 2.142e+00 1.972e+00
## x2.sex.tc x2.sex.ldl x2.sex.hdl x2.sex.tch x2.sex.ltg x2.sex.glu
## 1.231e+02 7.761e+01 2.647e+01 1.408e+01 1.810e+01 1.914e+00
## x2.bmi.map x2.bmi.tc x2.bmi.ldl x2.bmi.hdl x2.bmi.tch x2.bmi.ltg
## 2.631e+00 1.574e+02 1.111e+02 3.841e+01 1.881e+01 2.313e+01
## x2.bmi.glu x2.map.tc x2.map.ldl x2.map.hdl x2.map.tch x2.map.ltg
## 2.925e+00 1.643e+02 1.164e+02 3.383e+01 1.392e+01 2.610e+01
## x2.map.glu x2.tc.ldl x2.tc.hdl x2.tc.tch x2.tc.ltg x2.tc.glu
## 2.943e+00 4.890e+04 5.141e+03 1.096e+03 6.118e+04 1.251e+02
## x2.ldl.hdl x2.ldl.tch x2.ldl.ltg x2.ldl.glu x2.hdl.tch x2.hdl.ltg
## 3.537e+03 7.632e+02 4.240e+04 9.004e+01 3.545e+02 7.500e+03
## x2.hdl.glu x2.tch.ltg x2.tch.glu x2.ltg.glu
## 3.108e+01 1.377e+02 1.950e+01 2.473e+01
# 计算结果表明，数据x2的条件数是11427.09，而x2最大的5个VIF依次是1295001.21,1000312.11,180836.83,139965.06,61177.87.看来共线性问题很严重，我们就不尝试简单回归了。
# 下面分别介绍几种应对具有共线性问题数据的回归方法。
# 1 岭回归
# 采用可以自动选择岭回归参数的程序包ridge中的函数linearRidge().代码如下：
if(!require(ridge)) install.packages("ridge")
## Loading required package: ridge
a=linearRidge(y~.,data=w[,11:75])
summary(a)
##
## Call:
## linearRidge(formula = y ~ ., data = w[, 11:75])
##
##
## Coefficients:
## Estimate Scaled estimate Std. Error (scaled) t value (scaled)
## (Intercept) 152.133 NA NA NA
## x2.age 29.297 29.297 9.455 3.10
## x2.sex -6.866 -6.866 9.728 0.71
## x2.bmi 113.513 113.513 8.849 12.83
## x2.map 83.244 83.244 9.265 8.98
## x2.tc 27.114 27.114 8.090 3.35
## x2.ldl 18.190 18.190 8.110 2.24
## x2.hdl -68.954 -68.954 8.423 8.19
## x2.tch 68.202 68.202 7.436 9.17
## x2.ltg 106.126 106.126 8.566 12.39
## x2.glu 62.489 62.489 9.144 6.83
## x2.age.2 5.124 5.124 9.240 0.55
## x2.bmi.2 47.476 47.476 9.073 5.23
## x2.map.2 26.910 26.910 9.450 2.85
## x2.tc.2 4.022 4.022 6.918 0.58
## x2.ldl.2 -2.139 -2.139 6.825 0.31
## x2.hdl.2 -19.166 -19.166 8.034 2.39
## x2.tch.2 14.408 14.408 6.741 2.14
## x2.ltg.2 4.876 4.876 8.380 0.58
## x2.glu.2 19.856 19.856 8.336 2.38
## x2.age.sex 17.700 17.700 9.439 1.88
## x2.age.bmi -6.626 -6.626 8.853 0.75
## x2.age.map 18.112 18.112 9.150 1.98
## x2.age.tc -14.754 -14.754 7.900 1.87
## x2.age.ldl -24.376 -24.376 8.036 3.03
## x2.age.hdl -4.115 -4.115 8.794 0.47
## x2.age.tch -1.788 -1.788 7.582 0.24
## x2.age.ltg 12.686 12.686 8.319 1.52
## x2.age.glu 11.409 11.409 8.731 1.31
## x2.sex.bmi 7.874 7.874 8.900 0.88
## x2.sex.map 10.978 10.978 9.291 1.18
## x2.sex.tc 3.215 3.215 7.901 0.41
## x2.sex.ldl -6.899 -6.899 8.083 0.85
## x2.sex.hdl 17.660 17.660 8.759 2.02
## x2.sex.tch -4.875 -4.875 7.874 0.62
## x2.sex.ltg 4.840 4.840 8.700 0.56
## x2.sex.glu 4.862 4.862 9.057 0.54
## x2.bmi.map 28.088 28.088 8.755 3.21
## x2.bmi.tc -13.377 -13.377 7.483 1.79
## x2.bmi.ldl -18.762 -18.762 7.504 2.50
## x2.bmi.hdl -7.063 -7.063 7.982 0.88
## x2.bmi.tch 6.780 6.780 7.267 0.93
## x2.bmi.ltg 11.995 11.995 8.340 1.44
## x2.bmi.glu 23.429 23.429 8.268 2.83
## x2.map.tc 0.970 0.970 7.992 0.12
## x2.map.ldl -11.207 -11.207 8.113 1.38
## x2.map.hdl 9.005 9.005 8.701 1.03
## x2.map.tch -5.510 -5.510 7.642 0.72
## x2.map.ltg 13.073 13.073 8.170 1.60
## x2.map.glu 7.296 7.296 8.383 0.87
## x2.tc.ldl 0.105 0.105 6.645 0.02
## x2.tc.hdl 0.747 0.747 7.727 0.10
## x2.tc.tch 0.938 0.938 5.844 0.16
## x2.tc.ltg 0.681 0.681 7.516 0.09
## x2.tc.glu 3.820 3.820 7.557 0.51
## x2.ldl.hdl 15.825 15.825 7.700 2.06
## x2.ldl.tch -5.240 -5.240 6.169 0.85
## x2.ldl.ltg -14.830 -14.830 7.671 1.93
## x2.ldl.glu -3.107 -3.107 7.757 0.40
## x2.hdl.tch 1.595 1.595 7.236 0.22
## x2.hdl.ltg 5.676 5.676 8.145 0.70
## x2.hdl.glu -8.936 -8.936 8.425 1.06
## x2.tch.ltg 3.633 3.633 7.008 0.52
## x2.tch.glu 19.059 19.059 7.073 2.69
## x2.ltg.glu 13.317 13.317 7.630 1.75
## Pr(>|t|)
## (Intercept) NA
## x2.age 0.0019 **
## x2.sex 0.4803
## x2.bmi < 2e-16 ***
## x2.map < 2e-16 ***
## x2.tc 0.0008 ***
## x2.ldl 0.0249 *
## x2.hdl 2.2e-16 ***
## x2.tch < 2e-16 ***
## x2.ltg < 2e-16 ***
## x2.glu 8.3e-12 ***
## x2.age.2 0.5792
## x2.bmi.2 1.7e-07 ***
## x2.map.2 0.0044 **
## x2.tc.2 0.5610
## x2.ldl.2 0.7539
## x2.hdl.2 0.0170 *
## x2.tch.2 0.0326 *
## x2.ltg.2 0.5607
## x2.glu.2 0.0172 *
## x2.age.sex 0.0608 .
## x2.age.bmi 0.4542
## x2.age.map 0.0478 *
## x2.age.tc 0.0618 .
## x2.age.ldl 0.0024 **
## x2.age.hdl 0.6398
## x2.age.tch 0.8136
## x2.age.ltg 0.1273
## x2.age.glu 0.1913
## x2.sex.bmi 0.3763
## x2.sex.map 0.2374
## x2.sex.tc 0.6841
## x2.sex.ldl 0.3934
## x2.sex.hdl 0.0438 *
## x2.sex.tch 0.5358
## x2.sex.ltg 0.5780
## x2.sex.glu 0.5914
## x2.bmi.map 0.0013 **
## x2.bmi.tc 0.0738 .
## x2.bmi.ldl 0.0124 *
## x2.bmi.hdl 0.3762
## x2.bmi.tch 0.3508
## x2.bmi.ltg 0.1504
## x2.bmi.glu 0.0046 **
## x2.map.tc 0.9034
## x2.map.ldl 0.1672
## x2.map.hdl 0.3007
## x2.map.tch 0.4709
## x2.map.ltg 0.1095
## x2.map.glu 0.3841
## x2.tc.ldl 0.9874
## x2.tc.hdl 0.9230
## x2.tc.tch 0.8725
## x2.tc.ltg 0.9278
## x2.tc.glu 0.6132
## x2.ldl.hdl 0.0399 *
## x2.ldl.tch 0.3957
## x2.ldl.ltg 0.0532 .
## x2.ldl.glu 0.6888
## x2.hdl.tch 0.8255
## x2.hdl.ltg 0.4859
## x2.hdl.glu 0.2889
## x2.tch.ltg 0.6042
## x2.tch.glu 0.0070 **
## x2.ltg.glu 0.0809 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Ridge parameter: 5.363, chosen automatically, computed using 1 PCs
##
## Degrees of freedom: model 7.7 , variance 2.26 , residual 13.2
# 计算结果包含了估计的岭回归参数(5.363159)以及各个变量的系数
# 2 Lasso回归
# 在原理上和岭回归的想法有些相似，但惩罚项中不是系数的平方而是其绝对值。处于绝对值的特点，lasso回归不像岭回归那样把系数缩小，而是筛选掉一些系数。
# 这里主要使用R程序包lars中的函数lars（）
# 对于糖尿病数据，计算代码如下：
library(lars)
## Loaded lars 1.2
# 由于lar函数只用于矩阵型数据
# 下面就把数据中的自变量和因变量变为矩阵形式
x=as.matrix(w[,1:10])
y=as.matrix(w[,11])
x2=as.matrix(w[,12:75])
laa=lars(x2,y)
plot(laa) #绘出图

summary(laa) #给出Cp值
## LARS/LASSO
## Call: lars(x = x2, y = y)
## Df Rss Cp
## 0 1 2621009 485.0
## 1 2 2510465 448.0
## 2 3 1700369 164.1
## 3 4 1527165 105.0
## 4 5 1406132 64.3
## 5 6 1383106 58.1
## 6 7 1376775 57.9
## 7 8 1348060 49.8
## 8 9 1344199 50.4
## 9 10 1334100 48.8
## 10 11 1322126 46.6
## 11 12 1260433 26.8
## 12 13 1249726 25.1
## 13 14 1234993 21.9
## 14 15 1225552 20.5
## 15 16 1213289 18.2
## 16 17 1212253 19.8
## 17 18 1210149 21.1
## 18 19 1206003 21.6
## 19 20 1204605 23.1
## 20 21 1204456 25.1
## 21 22 1202257 26.3
## 22 23 1201624 28.1
## 23 24 1198460 29.0
## 24 25 1195878 30.1
## 25 26 1195220 31.8
## 26 27 1192542 32.9
## 27 28 1187670 33.2
## 28 29 1186523 34.8
## 29 30 1183037 35.5
## 30 31 1183016 37.5
## 31 32 1179856 38.4
## 32 33 1174062 38.4
## 33 32 1167872 34.2
## 34 33 1159747 33.3
## 35 34 1153420 33.1
## 36 33 1146020 28.5
## 37 34 1137971 27.6
## 38 35 1137230 29.4
## 39 34 1131811 25.4
## 40 35 1127200 25.8
## 41 36 1124311 26.8
## 42 37 1124258 28.8
## 43 38 1121886 29.9
## 44 39 1119587 31.1
## 45 38 1119329 29.0
## 46 39 1118865 30.9
## 47 40 1117079 32.2
## 48 41 1116458 34.0
## 49 40 1116362 32.0
## 50 41 1115726 33.8
## 51 42 1114325 35.3
## 52 43 1111865 36.4
## 53 44 1108981 37.4
## 54 45 1107598 38.9
## 55 46 1104947 40.0
## 56 47 1103193 41.3
## 57 46 1102828 39.2
## 58 47 1101354 40.7
## 59 48 1100599 42.4
## 60 49 1097168 43.2
## 61 50 1094770 44.4
## 62 51 1094123 46.1
## 63 50 1092734 43.6
## 64 51 1089882 44.6
## 65 52 1088990 46.3
## 66 53 1088526 48.2
## 67 52 1087920 46.0
## 68 53 1086464 47.4
## 69 54 1086371 49.4
## 70 55 1086313 51.4
## 71 54 1085177 49.0
## 72 55 1084456 50.7
## 73 56 1083088 52.2
## 74 57 1082815 54.1
## 75 56 1082810 52.1
## 76 57 1082236 54.0
## 77 58 1081182 55.6
## 78 57 1079531 53.0
## 79 58 1079361 54.9
## 80 57 1078568 52.6
## 81 56 1078453 50.6
## 82 57 1078313 52.6
## 83 58 1077211 54.2
## 84 59 1076986 56.1
## 85 60 1076081 57.8
## 86 61 1075894 59.7
## 87 62 1075233 61.5
## 88 63 1074810 63.3
## 89 64 1074665 65.3
## 90 63 1074148 63.1
## 91 62 1074029 61.0
## 92 63 1074004 63.0
## 93 62 1073798 61.0
## 94 63 1073783 63.0
## 95 64 1073762 65.0
## 96 63 1072676 62.6
## 97 64 1071932 64.3
## 98 63 1071790 62.3
## 99 62 1071439 60.1
## 100 63 1070725 61.9
## 101 64 1068231 63.0
## 102 65 1068228 65.0
## 103 64 1068227 63.0
## 104 65 1068220 65.0
cva=cv.lars(x2,y,K=10) #10折交叉验证

【读书笔记】数据出现多重共线性情况：岭回归，lasso回归，适应性lasso回归，偏最小二乘回归_第2张图片

best=cva$index[which.min(cva$cv)] #选合适的值（随机性使得结果不同）
coef=coef.lars(laa,mode="fraction",s=best) #使得CV最小步时的系数
min(laa$Cp) #哪个Cp最小,结果是第15个
## [1] 18.2
coef1=coef.lars(laa,mode="step",s=15) #使laa$Cp最小的step系数
# 3 适应性lasso回归
# 适应性lasso(adaptive lasso,alasso)回归是lasso回归的改进型。与lasso回归和岭回归类似，但惩罚项是系数绝对值的加权平均。
# 这里使用的是程序包msgps，其中不仅包括适应性lasso(alasso),还包括弹性网络(elasticnet)及广义弹性网络(generalized elastic net)等方法
# 对于糖尿病数据的例子，计算代码为：
w=read.csv("E:\\资料\\学习\\R语言读书笔记汇总\\吴喜之老师\\复杂数据统计方法_基于R的应用2nd\\读书笔记\\第二章\\diabetes.csv")
x=as.matrix(w[,1:10]);y=w[,11];x2=as.matrix(w[,12:75])
if(!require(msgps)) install.packages("msgps")
## Loading required package: msgps
# adaptive lasso
al=msgps(x2,y,penalty="alasso",gamma=1,lambda=0)
summary(al)
##
## Call: msgps(X = x2, y = y, penalty = "alasso", gamma = 1, lambda = 0)
##
## Penalty: "alasso"
##
## gamma: 1
##
## lambda: 0
##
## df:
## tuning df
## [1,] 0.00 0.00
## [2,] 0.45 1.04
## [3,] 1.70 4.42
## [4,] 2.96 9.16
## [5,] 4.41 12.27
## [6,] 5.47 13.97
## [7,] 6.70 16.26
## [8,] 7.99 18.71
## [9,] 9.70 22.07
## [10,] 12.05 26.03
## [11,] 14.32 28.88
## [12,] 16.44 31.11
## [13,] 18.88 33.14
## [14,] 21.60 36.35
## [15,] 24.53 40.05
## [16,] 27.54 43.27
## [17,] 30.86 45.31
## [18,] 34.57 47.12
## [19,] 38.64 49.19
## [20,] 45.23 54.15
##
## tuning.max: 45.3
##
## ms.coef:
## Cp AICC GCV BIC
## (Intercept) 152.133 152.133 152.133 152.1
## x2.age 0.000 0.000 0.000 0.0
## x2.sex -215.085 -215.085 -216.328 -163.5
## x2.bmi 505.387 505.387 505.387 505.4
## x2.map 312.060 312.060 313.303 275.4
## x2.tc -148.570 -148.570 -148.570 -148.6
## x2.ldl 17.406 17.406 18.027 10.6
## x2.hdl -229.382 -229.382 -230.004 -219.4
## x2.tch 0.000 0.000 0.000 0.0
## x2.ltg 703.067 703.067 703.067 672.6
## x2.glu 0.000 0.000 0.000 0.0
## x2.age.2 0.000 0.000 0.000 0.0
## x2.bmi.2 0.000 0.000 0.000 0.0
## x2.map.2 0.000 0.000 0.000 0.0
## x2.tc.2 110.651 110.651 130.543 -36.7
## x2.ldl.2 -81.434 -81.434 -93.867 0.0
## x2.hdl.2 -26.730 -26.730 -29.217 0.0
## x2.tch.2 88.893 88.893 91.380 13.7
## x2.ltg.2 355.574 355.574 361.790 159.8
## x2.glu.2 37.920 37.920 39.784 0.0
## x2.age.sex 162.246 162.246 162.868 99.5
## x2.age.bmi 0.000 0.000 0.000 0.0
## x2.age.map 0.000 0.000 0.000 0.0
## x2.age.tc 0.000 0.000 0.000 0.0
## x2.age.ldl 0.000 0.000 0.000 0.0
## x2.age.hdl 0.000 0.000 0.000 0.0
## x2.age.tch 0.000 0.000 0.000 0.0
## x2.age.ltg 34.190 34.190 36.055 0.0
## x2.age.glu 0.000 0.000 0.000 0.0
## x2.sex.bmi 0.000 0.000 0.000 0.0
## x2.sex.map 19.271 19.271 23.622 0.0
## x2.sex.tc 31.703 31.703 33.568 0.0
## x2.sex.ldl -57.812 -57.812 -60.920 0.0
## x2.sex.hdl 26.109 26.109 28.595 0.0
## x2.sex.tch 0.000 0.000 0.000 0.0
## x2.sex.ltg 0.000 0.000 0.000 0.0
## x2.sex.glu 0.000 0.000 0.000 0.0
## x2.bmi.map 115.624 115.624 117.489 68.4
## x2.bmi.tc 0.000 0.000 0.000 0.0
## x2.bmi.ldl 0.000 0.000 0.000 0.0
## x2.bmi.hdl 0.000 0.000 0.000 0.0
## x2.bmi.tch 0.000 0.000 0.000 0.0
## x2.bmi.ltg 0.000 0.000 0.000 0.0
## x2.bmi.glu 0.000 0.000 0.000 0.0
## x2.map.tc 19.271 19.271 19.271 11.2
## x2.map.ldl 0.000 0.000 0.000 0.0
## x2.map.hdl 3.108 3.108 6.838 0.0
## x2.map.tch 0.000 0.000 0.000 0.0
## x2.map.ltg 0.000 0.000 0.000 0.0
## x2.map.glu 0.000 0.000 0.000 0.0
## x2.tc.ldl 88.893 88.893 88.272 60.9
## x2.tc.hdl -0.622 -0.622 -0.622 19.9
## x2.tc.tch -265.437 -265.437 -271.032 -135.5
## x2.tc.ltg -639.660 -639.660 -653.958 -299.6
## x2.tc.glu 0.000 0.000 0.000 0.0
## x2.ldl.hdl -96.975 -96.975 -106.921 -23.0
## x2.ldl.tch 0.000 0.000 0.000 0.0
## x2.ldl.ltg 538.956 538.956 542.064 333.2
## x2.ldl.glu 0.000 0.000 0.000 0.0
## x2.hdl.tch -23.622 -23.622 -23.622 -23.6
## x2.hdl.ltg 247.410 247.410 248.653 128.1
## x2.hdl.glu 0.000 0.000 0.000 0.0
## x2.tch.ltg 0.000 0.000 0.000 0.0
## x2.tch.glu 95.731 95.731 95.731 78.3
## x2.ltg.glu 0.000 0.000 0.000 0.0
##
## ms.tuning:
## Cp AICC GCV BIC
## [1,] 8.16 8.16 8.34 5.11
##
## ms.df:
## Cp AICC GCV BIC
## [1,] 19 19 19.3 13.3
plot(al)

【读书笔记】数据出现多重共线性情况：岭回归，lasso回归，适应性lasso回归，偏最小二乘回归_第3张图片

# 4 偏最小二乘回归
# 偏最小二乘回归有些类似于主成分回归，主成分回归是在自变量和因变量（如果也有多个变量）中各自找到一些互相独立的主成分，然后按照计算主成分时得到的特征值的大小（特征值较大的主成分对原来变量的代表性也较强）
# 来选取主成分，主成分是独立的，用这些主成分代替原来的变量进行回归，共性性问题就解决了。
# 偏最小二乘回归则在因变量（如果也有多个变量组成）和自变量中先各自寻找一个因子（成分），条件是这两个因子在其他可能的成分中最相关，
# 然后在这选中的一对银子的正交空间中再选一对最相关的因子，如此下去，直到这些对因子有充分代表性为止（可以用交叉验证）。
# 对糖尿病数据使用程序包pls。该程序包也可以做主成分回归。
library(lars)
if(!require(pls)) install.packages("pls")
## Loading required package: pls
##
## Attaching package: 'pls'
##
## 下列对象被屏蔽了from 'package:stats':
##
## loadings
ap=plsr(y~x2,64,validation="CV") #求出所有可能的64个因子
ap$loadings #看代表性，前28个因子可以代表76.4%的方差
##
## Loadings:
## Comp 1 Comp 2 Comp 3 Comp 4 Comp 5 Comp 6 Comp 7 Comp 8 Comp 9
## x2.age 0.153 -0.168
## x2.sex 0.123 -0.159 -0.168 -0.204 0.117
## x2.bmi 0.338 0.123 0.165
## x2.map 0.267 0.106 0.127
## x2.tc 0.226 -0.139 -0.214 0.160
## x2.ldl 0.209 -0.148 -0.326 0.230
## x2.hdl -0.276 0.140 -0.186
## x2.tch 0.363 -0.136 0.176
## x2.ltg 0.359 0.109 0.127
## x2.glu 0.300 -0.100
## x2.age.2 0.254 -0.171
## x2.bmi.2 0.154 0.195 -0.136 -0.289 -0.319
## x2.map.2 0.115 0.125 -0.215 0.250
## x2.tc.2 -0.172 0.175 -0.179 0.312 -0.146 -0.215
## x2.ldl.2 -0.216 0.168 -0.306 0.258
## x2.hdl.2 -0.110 0.329 -0.253 0.117
## x2.tch.2 0.153 -0.300 0.186
## x2.ltg.2 0.137 -0.164 -0.121 0.267 -0.221
## x2.glu.2 0.142 -0.144 -0.148 0.259 0.182
## x2.age.sex 0.158 0.191 -0.277
## x2.age.bmi 0.203 -0.271 -0.117 0.170 0.171 -0.216
## x2.age.map 0.262 -0.176 -0.202 -0.101 0.105
## x2.age.tc -0.111 0.264 -0.261 0.147 0.106
## x2.age.ldl -0.127 0.249 -0.288
## x2.age.hdl 0.235 -0.107 -0.157 0.126 0.153
## x2.age.tch 0.220 -0.326 0.139
## x2.age.ltg 0.217 -0.261 0.247
## x2.age.glu 0.213 -0.238 0.202 -0.109
## x2.sex.bmi -0.113 -0.115 0.458 -0.167 -0.101
## x2.sex.map 0.354 -0.298 -0.104
## x2.sex.tc -0.141 0.190 -0.202 0.141 -0.247 0.500
## x2.sex.ldl -0.144 0.175 -0.256 0.164 -0.226 0.472
## x2.sex.hdl -0.143 0.141 -0.259 0.291
## x2.sex.tch -0.150 0.101 -0.169 0.276 -0.397 0.272
## x2.sex.ltg -0.114 0.264 -0.415 0.165
## x2.sex.glu -0.103 0.267 -0.321 0.159
## x2.bmi.map 0.149 -0.156 -0.171 0.351
## x2.bmi.tc -0.222 0.209 0.124 0.242 -0.235
## x2.bmi.ldl -0.236 0.229 -0.130 0.192 -0.331
## x2.bmi.hdl 0.135 -0.201 0.371 -0.153 -0.116 0.244
## x2.bmi.tch -0.248 0.157 -0.210 0.226 -0.388
## x2.bmi.ltg 0.125 -0.168 -0.107 -0.192 0.146 0.334 -0.130
## x2.bmi.glu 0.152 -0.141 0.126 -0.141 -0.167 0.141 0.167 -0.240
## x2.map.tc -0.118 0.225 -0.113 -0.118 0.325
## x2.map.ldl -0.137 0.212 -0.158 0.197
## x2.map.hdl 0.144 -0.174 -0.319 0.207 0.207
## x2.map.tch -0.204 -0.127 0.202 0.172 -0.270
## x2.map.ltg 0.115 -0.134 -0.190 0.242 -0.146 0.229
## x2.map.glu 0.108 -0.241 0.176 -0.180 -0.128 0.104
## x2.tc.ldl -0.195 0.185 -0.266 0.309 -0.111 -0.125
## x2.tc.hdl 0.229 -0.233
## x2.tc.tch 0.100 -0.294 0.185 -0.166 0.224 -0.193
## x2.tc.ltg -0.223 0.150 0.210 -0.229 -0.135
## x2.tc.glu -0.225 0.184 -0.111 -0.169
## x2.ldl.hdl 0.242 -0.222 0.153 -0.144 -0.216
## x2.ldl.tch -0.278 0.182 0.121 -0.278 0.204
## x2.ldl.ltg -0.247 0.188 0.234 -0.104
## x2.ldl.glu -0.220 0.196 0.119 -0.136
## x2.hdl.tch 0.239 -0.322 0.196 -0.131 -0.122
## x2.hdl.ltg 0.221 -0.188 0.235 -0.152
## x2.hdl.glu -0.129 0.185 -0.215 0.156
## x2.tch.ltg 0.152 -0.297 0.202 -0.154
## x2.tch.glu 0.166 -0.265 0.213 -0.113
## x2.ltg.glu 0.168 -0.202 -0.184 0.309 -0.131 0.107
## Comp 10 Comp 11 Comp 12 Comp 13 Comp 14 Comp 15 Comp 16 Comp 17
## x2.age -0.194 0.167 0.148 -0.263
## x2.sex 0.149 -0.204 0.143
## x2.bmi 0.173 -0.130 -0.132 0.110
## x2.map -0.162 0.260 -0.123
## x2.tc -0.149 0.112 -0.294 0.333 0.128 -0.282
## x2.ldl -0.232 0.342 -0.129
## x2.hdl -0.327 0.260 -0.184 0.126 0.307 -0.137
## x2.tch -0.107 0.259 -0.223 0.159 -0.259
## x2.ltg -0.216 0.194 -0.166
## x2.glu -0.141 0.209 -0.168 0.172
## x2.age.2 0.215 -0.209 -0.189 0.211
## x2.bmi.2 0.206 -0.101 0.264
## x2.map.2 0.108 -0.204 0.174 -0.118 0.144 -0.195
## x2.tc.2 0.460 -0.350 0.121 -0.130 -0.241
## x2.ldl.2 0.324 -0.256 0.174 -0.135
## x2.hdl.2 -0.220 0.108 -0.284 0.359 -0.170 -0.238
## x2.tch.2 -0.250 0.241 0.116 -0.111
## x2.ltg.2 0.268 -0.215 0.254 -0.366
## x2.glu.2 -0.257 0.356 -0.260 -0.427 0.332
## x2.age.sex 0.144 0.130 -0.344 0.189 -0.173
## x2.age.bmi 0.259 -0.219
## x2.age.map 0.167 -0.111 -0.180 -0.116
## x2.age.tc -0.190 0.250 -0.411 0.119 0.109
## x2.age.ldl -0.144 0.204 -0.393 0.133
## x2.age.hdl -0.122 -0.276 0.485 -0.182 0.189 -0.222
## x2.age.tch 0.220 -0.310 0.354 -0.217 0.223 0.157
## x2.age.ltg -0.176 0.329 -0.257 0.234
## x2.age.glu -0.105 0.125 -0.116 0.175 -0.347 0.193
## x2.sex.bmi 0.102 0.162 -0.115 -0.116 0.144
## x2.sex.map 0.160
## x2.sex.tc -0.292 0.158 -0.137
## x2.sex.ldl -0.314 -0.167
## x2.sex.hdl -0.111 0.371 -0.200
## x2.sex.tch -0.145 -0.138
## x2.sex.ltg -0.117 0.375
## x2.sex.glu 0.109 -0.156 0.174 -0.120 0.138
## x2.bmi.map 0.114 -0.304 0.212 -0.108 0.148 -0.211
## x2.bmi.tc -0.178 0.197 0.147 -0.314 0.123 0.178
## x2.bmi.ldl -0.135 0.337 0.186 -0.257 -0.104
## x2.bmi.hdl -0.254 0.102 0.114
## x2.bmi.tch 0.234
## x2.bmi.ltg 0.158 -0.180 -0.164 0.157 0.407
## x2.bmi.glu -0.280 0.340 -0.145 0.194 -0.198
## x2.map.tc -0.294 0.235 -0.358 0.153 0.107 0.216 -0.404
## x2.map.ldl -0.230 0.389 -0.325 0.177 -0.381
## x2.map.hdl -0.140 -0.139 0.158 -0.180 0.222 0.126 0.114
## x2.map.tch -0.130 0.248 -0.151 0.162 -0.319
## x2.map.ltg -0.136 0.425 -0.254
## x2.map.glu -0.113 -0.283 0.374 -0.167 0.128
## x2.tc.ldl 0.431 -0.270 0.115
## x2.tc.hdl 0.405 -0.356 0.146 -0.185 0.390 -0.348
## x2.tc.tch -0.133 -0.139 0.139 -0.204 0.160
## x2.tc.ltg -0.121 0.371 -0.336
## x2.tc.glu 0.143 -0.272 0.141 -0.197 0.148 0.132 -0.378 0.143
## x2.ldl.hdl 0.383 -0.237 0.107 0.142 -0.269
## x2.ldl.tch 0.130 -0.110 0.228
## x2.ldl.ltg 0.139 -0.118 0.401
## x2.ldl.glu 0.125 -0.177 0.129 -0.233 0.107 0.280 -0.411 0.279
## x2.hdl.tch 0.124 0.175 -0.199 0.160 -0.260 0.199 0.108
## x2.hdl.ltg -0.156 0.286 -0.172 0.119 -0.135
## x2.hdl.glu -0.118 0.231 -0.194 0.146 -0.283
## x2.tch.ltg -0.277 0.159 -0.109 0.298 -0.138
## x2.tch.glu 0.110 0.294 -0.240 0.334
## x2.ltg.glu 0.127 -0.138 0.250 -0.101 -0.154
## Comp 18 Comp 19 Comp 20 Comp 21 Comp 22 Comp 23 Comp 24 Comp 25
## x2.age 0.114 -0.160 0.180 -0.261 0.210 0.268 -0.407 0.193
## x2.sex 0.249 -0.486 0.197 -0.121 0.327
## x2.bmi -0.294 0.127 0.184
## x2.map -0.338 0.415 -0.122 -0.257 0.275
## x2.tc 0.119 -0.269 0.354 -0.330
## x2.ldl -0.120 0.318 -0.274 -0.148
## x2.hdl 0.212 -0.380 0.316 -0.255 0.316
## x2.tch -0.143 0.205 -0.101 0.118 -0.277
## x2.ltg 0.158 0.128 -0.212 0.146
## x2.glu -0.176 0.145 -0.194 0.280
## x2.age.2 0.216 -0.151 -0.154 0.148
## x2.bmi.2 -0.126 -0.177 0.130 -0.106
## x2.map.2 0.189 -0.343 0.483 -0.166 -0.115 -0.356
## x2.tc.2 0.145
## x2.ldl.2 0.113 -0.179 0.154
## x2.hdl.2 0.247 0.157 -0.125 -0.137
## x2.tch.2 -0.114 0.146 -0.222
## x2.ltg.2 0.413 -0.157 0.112 -0.169
## x2.glu.2
## x2.age.sex -0.315 0.293 0.204 -0.435 0.168 -0.116
## x2.age.bmi 0.214 -0.163 -0.144 0.159
## x2.age.map 0.314 -0.280 -0.102 0.120 0.216
## x2.age.tc -0.116 0.193 -0.307 0.281 -0.104
## x2.age.ldl -0.289 0.386
## x2.age.hdl 0.134 -0.308 0.426 -0.302 0.178 -0.144
## x2.age.tch -0.147 0.178 -0.206
## x2.age.ltg -0.181 0.149 0.262 0.146 -0.326
## x2.age.glu 0.246 -0.128
## x2.sex.bmi 0.102 -0.144 0.157 -0.101 -0.147
## x2.sex.map -0.198 0.356 -0.285 0.107 -0.123
## x2.sex.tc -0.203 0.377 -0.142 -0.111 0.206 0.148
## x2.sex.ldl 0.315 -0.125 -0.193 0.141
## x2.sex.hdl -0.201 0.100 0.100 -0.324 0.435 -0.483 0.168 0.109
## x2.sex.tch -0.283 0.228 -0.307 0.318
## x2.sex.ltg -0.278 0.137 -0.179 0.338 -0.107 -0.221 0.143
## x2.sex.glu -0.405 0.153 0.209 -0.137
## x2.bmi.map 0.114 -0.278 0.327 -0.163 0.114 0.217 -0.218
## x2.bmi.tc -0.127 0.164 -0.163 0.126 -0.141 0.191
## x2.bmi.ldl 0.168 0.181 -0.105 0.204
## x2.bmi.hdl 0.143 -0.317 0.123
## x2.bmi.tch 0.130 -0.140
## x2.bmi.ltg 0.106 -0.319 0.121 0.119 -0.182
## x2.bmi.glu -0.116 0.118 -0.166
## x2.map.tc 0.312 -0.149
## x2.map.ldl 0.388 -0.217 0.124 0.166 -0.199
## x2.map.hdl -0.332 0.216 -0.198 0.129 -0.225 0.312 -0.117
## x2.map.tch 0.445 -0.273 0.191 -0.256
## x2.map.ltg 0.315 -0.197 -0.156 0.146 -0.126 0.145
## x2.map.glu 0.192 -0.192 0.118 -0.181 -0.219 0.287
## x2.tc.ldl 0.127 -0.137 0.110
## x2.tc.hdl 0.242 0.130 -0.115 -0.112
## x2.tc.tch 0.102
## x2.tc.ltg 0.204 -0.227 -0.147 0.307 -0.203
## x2.tc.glu -0.138 0.156 0.111 -0.288 0.290
## x2.ldl.hdl 0.201 -0.274 0.151 -0.120
## x2.ldl.tch -0.225 0.134 -0.128 -0.105
## x2.ldl.ltg -0.175 0.182 0.119 -0.223
## x2.ldl.glu -0.103 0.156
## x2.hdl.tch 0.117 0.198 -0.116
## x2.hdl.ltg 0.126 -0.163 0.335 -0.182
## x2.hdl.glu 0.261 -0.127 0.245 -0.167 0.141 -0.332 0.268
## x2.tch.ltg 0.156 0.190 -0.113 0.232
## x2.tch.glu -0.156 -0.143
## x2.ltg.glu -0.173 0.143 0.114 0.110 -0.191
## Comp 26 Comp 27 Comp 28 Comp 29 Comp 30 Comp 31 Comp 32 Comp 33
## x2.age -0.165 0.254 -0.262 0.378 -0.373 -0.110 0.128
## x2.sex -0.396 0.275 -0.288 0.349 -0.378 0.189 0.147
## x2.bmi -0.347 0.311 -0.148
## x2.map -0.204 0.207 -0.340 0.227 0.102 -0.152
## x2.tc 0.218 -0.296 0.167 -0.167 0.232 -0.162 0.140
## x2.ldl 0.348 -0.276 -0.103 0.246 -0.212
## x2.hdl 0.164 -0.130 0.130
## x2.tch 0.223 -0.109 0.114
## x2.ltg -0.206 0.250 0.102 0.285
## x2.glu -0.442 0.256 -0.193 0.110 0.351 -0.676
## x2.age.2 -0.279 0.493 -0.355 0.187 -0.311
## x2.bmi.2 0.211 -0.270 0.381 -0.257 -0.141 0.267
## x2.map.2 0.281 0.220 -0.198 -0.197 0.211
## x2.tc.2 -0.119
## x2.ldl.2 -0.186
## x2.hdl.2 -0.119 0.124 -0.111 0.126 -0.104
## x2.tch.2 0.273 -0.136
## x2.ltg.2 -0.277
## x2.glu.2 0.182
## x2.age.sex 0.175 -0.187 0.134 -0.244 0.271 -0.280 0.277 -0.166
## x2.age.bmi 0.413 -0.536 0.267 0.285 -0.327 0.186
## x2.age.map -0.375 0.469 -0.257 0.388 -0.193 -0.390 0.361
## x2.age.tc -0.120 0.260 -0.270 0.179 -0.238 0.179
## x2.age.ldl -0.147 0.362 -0.348 0.174 -0.160 0.175 -0.172
## x2.age.hdl -0.247 0.285 -0.210 0.145
## x2.age.tch -0.102 -0.239 0.382 -0.174
## x2.age.ltg -0.130 0.247 -0.136
## x2.age.glu -0.258 0.437 -0.144 -0.318 0.126 0.177 0.159
## x2.sex.bmi 0.173 0.206 -0.272 -0.166
## x2.sex.map 0.278 -0.266 -0.176 0.258 -0.293 0.524 -0.460
## x2.sex.tc -0.247 0.197 0.101
## x2.sex.ldl -0.428 0.255 -0.113 -0.102 0.188
## x2.sex.hdl 0.165 -0.236 0.204 -0.176
## x2.sex.tch 0.179 -0.153 0.200 -0.240 0.203
## x2.sex.ltg 0.216 -0.187 -0.183
## x2.sex.glu -0.126 0.162 0.129 -0.261 -0.121 0.446
## x2.bmi.map -0.166 0.347 -0.234 -0.109
## x2.bmi.tc -0.162 0.182 -0.171
## x2.bmi.ldl -0.250 0.104
## x2.bmi.hdl 0.194 0.123 -0.204 0.167
## x2.bmi.tch 0.197 0.237
## x2.bmi.ltg -0.129 0.277 -0.171
## x2.bmi.glu -0.202
## x2.map.tc -0.177 0.161 -0.134 0.131
## x2.map.ldl -0.109 0.258 -0.218
## x2.map.hdl 0.224 -0.107 -0.157 -0.112 0.327 -0.106 0.159 -0.121
## x2.map.tch 0.121 -0.119 0.128
## x2.map.ltg 0.227 -0.234 -0.171 0.182 0.189 0.315
## x2.map.glu -0.454 0.135 0.173 -0.154 -0.350
## x2.tc.ldl -0.112
## x2.tc.hdl -0.142 0.177 -0.202
## x2.tc.tch 0.117
## x2.tc.ltg 0.104
## x2.tc.glu -0.144 0.142 -0.131 0.211 -0.166
## x2.ldl.hdl -0.207 0.177 0.114
## x2.ldl.tch 0.152 -0.151
## x2.ldl.ltg 0.169 -0.155
## x2.ldl.glu -0.161 0.233 0.212 -0.395
## x2.hdl.tch -0.127 0.155
## x2.hdl.ltg 0.332 -0.143 -0.110 -0.115 0.248 -0.182
## x2.hdl.glu 0.130 -0.371 0.215 -0.224 -0.126
## x2.tch.ltg -0.200 0.113 -0.149
## x2.tch.glu 0.265 -0.188 -0.291 0.165
## x2.ltg.glu 0.112 -0.193 0.289 -0.247
## Comp 34 Comp 35 Comp 36 Comp 37 Comp 38 Comp 39 Comp 40 Comp 41
## x2.age 0.200 -0.126 -0.192 0.265 -0.169 -0.113 0.173
## x2.sex -0.224 0.281 -0.243 0.328 -0.374 0.260
## x2.bmi -0.209 0.302
## x2.map 0.174 -0.270 0.158 0.314 -0.502
## x2.tc
## x2.ldl -0.106
## x2.hdl -0.110
## x2.tch 0.108
## x2.ltg -0.401 0.152 0.109 -0.211 0.152
## x2.glu 0.408 -0.327 0.225 0.147 -0.344 0.308
## x2.age.2 0.241 -0.402 0.358 -0.233 0.330 -0.248
## x2.bmi.2 0.121 -0.119 -0.151 0.440 -0.341 -0.186
## x2.map.2 0.106 -0.247 0.193 -0.200 0.316 -0.358 0.323
## x2.tc.2 0.114 -0.120
## x2.ldl.2 -0.203 0.280 -0.191 -0.189
## x2.hdl.2 0.131 -0.157 0.172
## x2.tch.2 0.208 0.116 -0.170
## x2.ltg.2 0.126 0.141 -0.116 -0.122
## x2.glu.2 0.145 -0.210 0.239 -0.253
## x2.age.sex 0.148 -0.153 0.197 -0.230 0.213 0.202 -0.203
## x2.age.bmi -0.149 0.168 -0.126 -0.102 0.186 -0.102 -0.213 0.325
## x2.age.map -0.110 0.140
## x2.age.tc -0.145 0.176 0.138 -0.108
## x2.age.ldl 0.182 -0.200 0.113 0.155 -0.139 0.190
## x2.age.hdl -0.102 0.152 -0.269 0.290
## x2.age.tch -0.118 -0.173 0.176 0.182
## x2.age.ltg -0.131 0.124 0.148 -0.274 0.239 -0.102
## x2.age.glu -0.194 0.628 -0.164 -0.374 0.248
## x2.sex.bmi 0.337 -0.124 0.394 -0.121 -0.266
## x2.sex.map 0.284 -0.286 0.286 0.111 -0.114 -0.221
## x2.sex.tc -0.143 0.110
## x2.sex.ldl 0.167
## x2.sex.hdl 0.108 -0.135 0.189 -0.181 0.233
## x2.sex.tch -0.181 0.106 0.113 0.164
## x2.sex.ltg 0.147 0.137 -0.131 -0.106 -0.147 0.388
## x2.sex.glu -0.349 0.142 -0.265 0.138 0.101 -0.226 0.272
## x2.bmi.map -0.145 0.124 -0.207 0.167
## x2.bmi.tc -0.198 0.108 -0.147 0.198 -0.265
## x2.bmi.ldl -0.111 0.126 0.125 0.189 -0.215
## x2.bmi.hdl 0.109 -0.247 -0.261
## x2.bmi.tch 0.131 -0.354
## x2.bmi.ltg -0.163 0.241 0.326 -0.335 0.193
## x2.bmi.glu 0.227 -0.455 0.417
## x2.map.tc 0.222 -0.262 0.181 -0.158
## x2.map.ldl 0.147 -0.188 0.296 -0.117
## x2.map.hdl -0.320 0.184 -0.242 0.302
## x2.map.tch -0.216 0.303 0.120
## x2.map.ltg -0.366 -0.376 0.340 -0.187
## x2.map.glu 0.275 0.164 -0.198 0.174 -0.106
## x2.tc.ldl -0.105 0.163 -0.210 0.137
## x2.tc.hdl 0.172 -0.177
## x2.tc.tch -0.127 -0.104
## x2.tc.ltg 0.257 -0.160 0.224 -0.156 0.153 -0.300 0.214
## x2.tc.glu 0.302 -0.324 0.294 -0.148 -0.133 0.220
## x2.ldl.hdl -0.187 0.199 0.217 -0.251
## x2.ldl.tch -0.178 0.167 -0.141
## x2.ldl.ltg 0.360 -0.400 0.282 -0.374 0.199
## x2.ldl.glu 0.132 -0.283 0.358 -0.211 0.190
## x2.hdl.tch -0.196 0.122 0.135
## x2.hdl.ltg -0.174 0.108 0.312 -0.412 0.105 -0.221 0.254
## x2.hdl.glu 0.566 -0.376 0.132
## x2.tch.ltg 0.276 -0.227 -0.170 0.102 -0.110 -0.117
## x2.tch.glu -0.149 0.182 0.139 -0.141 -0.129
## x2.ltg.glu -0.106 0.117 0.156 -0.166
## Comp 42 Comp 43 Comp 44 Comp 45 Comp 46 Comp 47 Comp 48 Comp 49
## x2.age -0.571 0.417 -0.419 0.409 -0.556 0.405 -0.329
## x2.sex 0.163 -0.112 0.135 -0.115 0.315
## x2.bmi -0.161 0.228 -0.165 -0.171 0.142
## x2.map 0.373 0.213 -0.294 0.251 -0.143 0.290 -0.136 -0.272
## x2.tc
## x2.ldl
## x2.hdl 0.118
## x2.tch
## x2.ltg -0.149 -0.146 0.196
## x2.glu -0.249 0.325 -0.328 0.146
## x2.age.2 0.190 -0.635 0.374 -0.214 0.235 -0.525 0.425 -0.270
## x2.bmi.2 0.375 -0.278 0.156 0.117
## x2.map.2 -0.264 0.181 -0.414 0.395 -0.161
## x2.tc.2
## x2.ldl.2 0.116 0.123
## x2.hdl.2 -0.123 0.137
## x2.tch.2 0.199 -0.125 0.132 -0.143 -0.265
## x2.ltg.2 0.272 -0.416 0.148 0.186
## x2.glu.2 0.259 0.439 -0.237 -0.158 0.200
## x2.age.sex -0.180 0.520 -0.494 0.249 0.150
## x2.age.bmi -0.244 0.144 -0.248 0.108
## x2.age.map 0.151 0.271 -0.335 0.209 0.168 -0.107 -0.251
## x2.age.tc -0.134
## x2.age.ldl -0.165 0.104 0.103
## x2.age.hdl 0.165 -0.428 0.208
## x2.age.tch 0.148 -0.138 -0.148 0.116 0.117
## x2.age.ltg -0.237 0.669 -0.352 0.122 0.260
## x2.age.glu -0.469 0.236 0.202 -0.250 0.229
## x2.sex.bmi 0.355 -0.476 0.182 -0.167 0.637
## x2.sex.map 0.370 -0.335 0.387 -0.326 -0.101 0.242 -0.269
## x2.sex.tc -0.110 0.175 -0.191 0.138 -0.135
## x2.sex.ldl 0.103 0.126 -0.194 -0.135 -0.111
## x2.sex.hdl -0.108 -0.116 0.275 0.121
## x2.sex.tch -0.117 0.186 0.215 -0.134
## x2.sex.ltg -0.255 0.536 -0.285 0.475 -0.359 0.111
## x2.sex.glu -0.200 -0.675 0.463 -0.345 0.691 -0.300 -0.375
## x2.bmi.map -0.114 -0.282 0.469 -0.105 -0.151 0.144
## x2.bmi.tc 0.105 0.212 -0.177 -0.159 0.204 -0.207
## x2.bmi.ldl 0.147 -0.167 -0.218 0.107
## x2.bmi.hdl 0.230 0.295 -0.173 0.117 -0.198
## x2.bmi.tch 0.184 0.162 -0.135 0.109 -0.120
## x2.bmi.ltg -0.108 -0.158 -0.367
## x2.bmi.glu -0.405 0.110 -0.204 0.524 -0.261
## x2.map.tc -0.253 0.143 -0.108 0.228
## x2.map.ldl -0.105 0.112 -0.200 0.185 -0.113 0.102
## x2.map.hdl 0.168 -0.395 -0.196 0.190
## x2.map.tch -0.228
## x2.map.ltg -0.257 0.369 -0.230
## x2.map.glu 0.117 0.113 -0.171 -0.260 0.187
## x2.tc.ldl
## x2.tc.hdl 0.222 -0.101 -0.128
## x2.tc.tch
## x2.tc.ltg -0.136 0.164 -0.134
## x2.tc.glu -0.263 0.138
## x2.ldl.hdl 0.205 -0.163
## x2.ldl.tch
## x2.ldl.ltg -0.270 0.171 -0.123 0.152 -0.107
## x2.ldl.glu -0.251 0.205 -0.238 0.115
## x2.hdl.tch 0.112
## x2.hdl.ltg 0.192 0.207 -0.192 -0.110
## x2.hdl.glu -0.170 0.139 -0.137 0.281 -0.202
## x2.tch.ltg
## x2.tch.glu -0.114 0.206 0.119
## x2.ltg.glu 0.190 -0.165
## Comp 50 Comp 51 Comp 52 Comp 53 Comp 54 Comp 55 Comp 56 Comp 57
## x2.age 0.121 0.227
## x2.sex -0.270 0.129 0.183 -0.156 0.442 -0.119
## x2.bmi 0.356 -0.200 0.648 -0.358 0.945 -0.255
## x2.map 0.156 0.132 -0.157 -0.297 0.232 -0.525 0.139
## x2.tc -0.101 0.161 0.159 0.119
## x2.ldl 0.255 0.347
## x2.hdl -0.115 -0.199 0.238 0.172 -0.154 0.737 -0.615
## x2.tch -0.135 0.137 -0.366 0.330 -0.923
## x2.ltg -0.708 0.117 0.284 -0.241 -0.306 0.146
## x2.glu 0.385 -0.315 0.126 -0.164
## x2.age.2 -0.410 0.280 -0.318 0.161 -0.183
## x2.bmi.2 -0.105 0.150 -0.140 0.100 -0.892 0.259
## x2.map.2 0.122
## x2.tc.2 0.128
## x2.ldl.2 -0.167
## x2.hdl.2 -0.124 0.229 -0.882 0.206
## x2.tch.2 0.249 0.221 -0.240 0.721 -0.302
## x2.ltg.2 0.288 -0.225 -0.267 0.203 0.281 -0.152
## x2.glu.2 -0.239 0.157 -0.926 0.389 0.904 -0.303
## x2.age.sex 0.371 -0.417 0.253 -0.189 -0.220
## x2.age.bmi 0.352 -0.258 0.131 -0.121 -0.597 0.198
## x2.age.map 0.223 -0.184 0.181 0.220 -0.163 0.352 -0.103
## x2.age.tc 0.160 -0.139
## x2.age.ldl -0.196 0.117 0.111 -0.247 0.233
## x2.age.hdl 0.467 -0.196 -0.195 0.108
## x2.age.tch -0.123 0.244 -0.230 -0.235 0.168 -0.179
## x2.age.ltg -0.175 -0.199 0.122 0.619 -0.215
## x2.age.glu 0.328 -0.283 0.460 -0.172 0.143
## x2.sex.bmi -0.715 0.330 -0.208 0.638 -0.287
## x2.sex.map 0.534 -0.273 -0.104 0.133
## x2.sex.tc 0.220 -0.191 0.237 -0.151 -0.206
## x2.sex.ldl 0.198 -0.165 0.131
## x2.sex.hdl -0.286 0.252 -0.298 0.344 -0.118 -0.112 0.126
## x2.sex.tch 0.116 -0.158 -0.171 0.472 -0.134
## x2.sex.ltg -0.387 0.156 -0.271 0.138 -0.438 0.123
## x2.sex.glu 0.286
## x2.bmi.map 0.164 -0.291 0.233 0.135 -0.133 0.719 -0.225
## x2.bmi.tc 0.353 0.304 -0.102 -0.140 -0.128
## x2.bmi.ldl 0.134 -0.133 0.130 0.115
## x2.bmi.hdl 0.405 -0.372 0.547 -0.207 -0.133
## x2.bmi.tch -0.251 0.259 -0.233 0.676 -0.213
## x2.bmi.ltg 0.244 -0.361 0.164
## x2.bmi.glu -0.107 0.101 -0.304 0.140 0.413 -0.147
## x2.map.tc -0.161 -0.119 -0.106
## x2.map.ldl -0.189 0.124 -0.143 -0.119 0.113
## x2.map.hdl -0.198 0.120 0.173 -0.144 0.150
## x2.map.tch 0.496 0.119 -0.180 0.179
## x2.map.ltg 0.235 -0.193 -0.420 0.225 -0.500 0.163
## x2.map.glu -0.140 0.261 -0.317 0.252 -0.476 0.150
## x2.tc.ldl -0.100
## x2.tc.hdl 0.127 -0.238 0.261 -0.173
## x2.tc.tch 0.146
## x2.tc.ltg -0.162
## x2.tc.glu 0.222 -0.103 -0.153
## x2.ldl.hdl 0.135 0.210 -0.175 0.103 0.481 -0.140
## x2.ldl.tch
## x2.ldl.ltg 0.101 0.150 -0.496
## x2.ldl.glu 0.209 -0.137 -0.493 0.144 0.168
## x2.hdl.tch -0.102 -0.226
## x2.hdl.ltg -0.216 0.219 0.112 -0.165 0.295 0.107
## x2.hdl.glu -0.235 0.518 -0.174
## x2.tch.ltg -0.140 0.296 0.230
## x2.tch.glu -0.156 0.428 0.205
## x2.ltg.glu -0.367 0.228 0.796 -0.462 -0.857 0.291
## Comp 58 Comp 59 Comp 60 Comp 61 Comp 62 Comp 63 Comp 64
## x2.age
## x2.sex
## x2.bmi
## x2.map
## x2.tc -0.682
## x2.ldl -0.162 0.599
## x2.hdl 0.272 0.255
## x2.tch 0.421
## x2.ltg 0.224
## x2.glu
## x2.age.2
## x2.bmi.2
## x2.map.2
## x2.tc.2 -0.162 0.690 -0.346 0.120 0.156
## x2.ldl.2 0.299 -0.693 0.379 -0.132
## x2.hdl.2 0.309 -0.356 -0.160
## x2.tch.2 0.280 -0.121 0.225 0.143
## x2.ltg.2 -0.174 0.245
## x2.glu.2
## x2.age.sex
## x2.age.bmi
## x2.age.map
## x2.age.tc -0.800 0.327 0.351
## x2.age.ldl 0.650 -0.272 -0.283
## x2.age.hdl 0.321 -0.131 -0.135
## x2.age.tch
## x2.age.ltg 0.303 -0.129 -0.121
## x2.age.glu
## x2.sex.bmi
## x2.sex.map
## x2.sex.tc 0.198 0.223 -0.119 -0.384
## x2.sex.ldl -0.130 -0.166 0.114 0.281
## x2.sex.hdl -0.102 -0.101 0.165
## x2.sex.tch
## x2.sex.ltg 0.126
## x2.sex.glu
## x2.bmi.map
## x2.bmi.tc 0.221 0.844 -0.419 0.198
## x2.bmi.ldl -0.200 -0.672 0.324 -0.183
## x2.bmi.hdl -0.383 0.191
## x2.bmi.tch -0.132
## x2.bmi.ltg -0.103 -0.302 0.146
## x2.bmi.glu
## x2.map.tc -0.171 0.224 0.112 -0.409 0.169
## x2.map.ldl 0.166 -0.192 0.331 -0.141
## x2.map.hdl 0.176
## x2.map.tch
## x2.map.ltg 0.165
## x2.map.glu
## x2.tc.ldl -0.311 0.130 -0.154 0.110
## x2.tc.hdl -0.355 0.532 -0.107 0.181
## x2.tc.tch -0.570 0.318 0.165
## x2.tc.ltg 0.169 0.241 -0.520 0.150 0.147
## x2.tc.glu -0.126 0.196 -0.205 0.436 -0.294
## x2.ldl.hdl 0.317 -0.435 -0.171 0.262 -0.279 -0.163
## x2.ldl.tch -0.223 0.468 -0.254 -0.126 -0.147
## x2.ldl.ltg -0.220 0.117 -0.123
## x2.ldl.glu 0.114 -0.166 0.164 -0.351 0.248
## x2.hdl.tch 0.304 0.216 -0.265 -0.126 0.236 0.190
## x2.hdl.ltg -0.100 -0.168
## x2.hdl.glu -0.200 0.132
## x2.tch.ltg -0.365 0.344 -0.120
## x2.tch.glu
## x2.ltg.glu -0.130 0.102 -0.178 0.126
##
## Comp 1 Comp 2 Comp 3 Comp 4 Comp 5 Comp 6 Comp 7 Comp 8
## SS loadings 1.142 1.612 1.371 1.378 1.516 1.494 1.476 1.494
## Proportion Var 0.018 0.025 0.021 0.022 0.024 0.023 0.023 0.023
## Cumulative Var 0.018 0.043 0.064 0.086 0.110 0.133 0.156 0.179
## Comp 9 Comp 10 Comp 11 Comp 12 Comp 13 Comp 14 Comp 15
## SS loadings 1.938 1.890 2.152 1.847 1.693 1.667 1.487
## Proportion Var 0.030 0.030 0.034 0.029 0.026 0.026 0.023
## Cumulative Var 0.210 0.239 0.273 0.302 0.328 0.354 0.377
## Comp 16 Comp 17 Comp 18 Comp 19 Comp 20 Comp 21 Comp 22
## SS loadings 2.532 2.056 1.854 1.690 1.633 1.785 1.905
## Proportion Var 0.040 0.032 0.029 0.026 0.026 0.028 0.030
## Cumulative Var 0.417 0.449 0.478 0.504 0.530 0.558 0.588
## Comp 23 Comp 24 Comp 25 Comp 26 Comp 27 Comp 28 Comp 29
## SS loadings 2.101 1.579 1.442 2.058 2.157 1.936 2.010
## Proportion Var 0.033 0.025 0.023 0.032 0.034 0.030 0.031
## Cumulative Var 0.620 0.645 0.668 0.700 0.734 0.764 0.795
## Comp 30 Comp 31 Comp 32 Comp 33 Comp 34 Comp 35 Comp 36
## SS loadings 1.730 1.614 1.865 2.170 2.286 1.477 1.672
## Proportion Var 0.027 0.025 0.029 0.034 0.036 0.023 0.026
## Cumulative Var 0.822 0.847 0.877 0.911 0.946 0.969 0.995
## Comp 37 Comp 38 Comp 39 Comp 40 Comp 41 Comp 42 Comp 43
## SS loadings 2.145 1.823 1.736 2.173 1.608 1.664 4.401
## Proportion Var 0.034 0.028 0.027 0.034 0.025 0.026 0.069
## Cumulative Var 1.029 1.057 1.085 1.119 1.144 1.170 1.238
## Comp 44 Comp 45 Comp 46 Comp 47 Comp 48 Comp 49 Comp 50
## SS loadings 1.450 1.796 1.907 2.436 1.267 2.017 4.171
## Proportion Var 0.023 0.028 0.030 0.038 0.020 0.032 0.065
## Cumulative Var 1.261 1.289 1.319 1.357 1.377 1.408 1.473
## Comp 51 Comp 52 Comp 53 Comp 54 Comp 55 Comp 56 Comp 57
## SS loadings 1.805 1.278 5.221 1.332 10.436 1.160 1.863
## Proportion Var 0.028 0.020 0.082 0.021 0.163 0.018 0.029
## Cumulative Var 1.502 1.522 1.603 1.624 1.787 1.805 1.834
## Comp 58 Comp 59 Comp 60 Comp 61 Comp 62 Comp 63 Comp 64
## SS loadings 1.302 1.919 4.460 1.134 1.033 1.000 1.000
## Proportion Var 0.020 0.030 0.070 0.018 0.016 0.016 0.016
## Cumulative Var 1.855 1.885 1.954 1.972 1.988 2.004 2.019
ap$coefficients #看各因子做为原变量的线性组合的系数
## , , 1 comps
##
## y
## x2.age 70.970
## x2.sex 16.265
## x2.bmi 221.515
## x2.map 166.758
## x2.tc 80.085
## x2.ldl 65.744
## x2.hdl -149.120
## x2.tch 162.591
## x2.ltg 213.746
## x2.glu 144.472
## x2.age.2 -4.949
## x2.bmi.2 95.428
## x2.map.2 60.310
## x2.tc.2 10.048
## x2.ldl.2 1.455
## x2.hdl.2 -43.919
## x2.tch.2 42.131
## x2.ltg.2 30.066
## x2.glu.2 51.194
## x2.age.sex 21.518
## x2.age.bmi -17.727
## x2.age.map 27.034
## x2.age.tc -41.544
## x2.age.ldl -57.509
## x2.age.hdl -17.895
## x2.age.tch -6.323
## x2.age.ltg 17.760
## x2.age.glu 17.415
## x2.sex.bmi 17.194
## x2.sex.map 21.751
## x2.sex.tc 6.019
## x2.sex.ldl -14.432
## x2.sex.hdl 33.009
## x2.sex.tch -6.962
## x2.sex.ltg 12.135
## x2.sex.glu 14.007
## x2.bmi.map 55.568
## x2.bmi.tc -25.317
## x2.bmi.ldl -42.072
## x2.bmi.hdl -19.927
## x2.bmi.tch 22.773
## x2.bmi.ltg 37.277
## x2.bmi.glu 58.842
## x2.map.tc -4.139
## x2.map.ldl -31.614
## x2.map.hdl 5.834
## x2.map.tch -1.351
## x2.map.ltg 37.559
## x2.map.glu 30.053
## x2.tc.ldl 2.536
## x2.tc.hdl -9.749
## x2.tc.tch 14.740
## x2.tc.ltg 8.077
## x2.tc.glu 13.810
## x2.ldl.hdl 33.794
## x2.ldl.tch -6.686
## x2.ldl.ltg -36.717
## x2.ldl.glu -6.405
## x2.hdl.tch -1.395
## x2.hdl.ltg -5.490
## x2.hdl.glu -33.142
## x2.tch.ltg 27.908
## x2.tch.glu 51.993
## x2.ltg.glu 46.621
##
## , , 2 comps
##
## y
## x2.age 73.1877
## x2.sex -19.9735
## x2.bmi 285.9832
## x2.map 210.1086
## x2.tc 60.1706
## x2.ldl 39.7667
## x2.hdl -172.6798
## x2.tch 162.1865
## x2.ltg 262.4734
## x2.glu 153.5403
## x2.age.2 17.0301
## x2.bmi.2 119.9397
## x2.map.2 68.5463
## x2.tc.2 1.6132
## x2.ldl.2 -16.1122
## x2.hdl.2 -54.1696
## x2.tch.2 17.6878
## x2.ltg.2 0.9087
## x2.glu.2 39.5885
## x2.age.sex 47.1071
## x2.age.bmi -15.0519
## x2.age.map 50.2229
## x2.age.tc -34.0382
## x2.age.ldl -57.7949
## x2.age.hdl -8.7369
## x2.age.tch -4.7595
## x2.age.ltg 32.0278
## x2.age.glu 29.0733
## x2.sex.bmi 13.4315
## x2.sex.map 23.1276
## x2.sex.tc 1.8588
## x2.sex.ldl -23.1169
## x2.sex.hdl 48.7351
## x2.sex.tch -19.5600
## x2.sex.ltg 6.0899
## x2.sex.glu 6.2491
## x2.bmi.map 68.6948
## x2.bmi.tc -43.6369
## x2.bmi.ldl -57.1368
## x2.bmi.hdl -9.8037
## x2.bmi.tch 3.6258
## x2.bmi.ltg 19.9363
## x2.bmi.glu 50.0638
## x2.map.tc -1.9400
## x2.map.ldl -33.0158
## x2.map.hdl 31.8653
## x2.map.tch -25.0890
## x2.map.ltg 24.4288
## x2.map.glu 13.0563
## x2.tc.ldl -9.2472
## x2.tc.hdl 14.6036
## x2.tc.tch -13.1920
## x2.tc.ltg -10.1837
## x2.tc.glu -2.1826
## x2.ldl.hdl 51.9416
## x2.ldl.tch -27.2238
## x2.ldl.ltg -49.0814
## x2.ldl.glu -18.5599
## x2.hdl.tch 18.8576
## x2.hdl.ltg 28.7738
## x2.hdl.glu -10.1079
## x2.tch.ltg -9.2697
## x2.tch.glu 31.3118
## x2.ltg.glu 19.9768
##
## , , 3 comps
##
## y
## x2.age 48.66485
## x2.sex -116.73114
## x2.bmi 384.52002
## x2.map 266.89437
## x2.tc 8.90608
## x2.ldl -31.64805
## x2.hdl -188.67033
## x2.tch 142.89327
## x2.ltg 338.31468
## x2.glu 143.24876
## x2.age.2 72.18103
## x2.bmi.2 163.51783
## x2.map.2 75.03758
## x2.tc.2 21.81788
## x2.ldl.2 -7.25455
## x2.hdl.2 -44.47438
## x2.tch.2 22.30543
## x2.ltg.2 -40.48111
## x2.glu.2 36.06031
## x2.age.sex 104.15061
## x2.age.bmi 1.35287
## x2.age.map 97.35855
## x2.age.tc 0.05722
## x2.age.ldl -41.30101
## x2.age.hdl 11.30616
## x2.age.tch 13.33491
## x2.age.ltg 73.53093
## x2.age.glu 63.24413
## x2.sex.bmi 29.59328
## x2.sex.map 41.74625
## x2.sex.tc 26.41417
## x2.sex.ldl -6.04238
## x2.sex.hdl 61.49847
## x2.sex.tch -12.82535
## x2.sex.ltg 17.16701
## x2.sex.glu 9.61965
## x2.bmi.map 100.37114
## x2.bmi.tc -29.91948
## x2.bmi.ldl -28.00075
## x2.bmi.hdl -13.99637
## x2.bmi.tch 12.55378
## x2.bmi.ltg 10.15731
## x2.bmi.glu 51.94641
## x2.map.tc 35.62251
## x2.map.ldl 4.95810
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## x2.tc.hdl 22.16827
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## x2.ldl.glu 7.55718
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## x2.hdl.ltg 64.27568
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## x2.tch.glu 34.90401
## x2.ltg.glu -7.71895
##
## , , 4 comps
##
## y
## x2.age 46.8102
## x2.sex -195.8133
## x2.bmi 451.3854
## x2.map 303.4630
## x2.tc -17.9455
## x2.ldl -82.9932
## x2.hdl -182.7810
## x2.tch 131.7593
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## x2.glu 128.7519
## x2.age.2 73.8319
## x2.bmi.2 157.0704
## x2.map.2 43.7275
## x2.tc.2 22.5848
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## x2.hdl.2 2.8218
## x2.tch.2 45.5075
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## x2.glu.2 37.2933
## x2.age.sex 128.9142
## x2.age.bmi -25.6956
## x2.age.map 81.7790
## x2.age.tc -18.5794
## x2.age.ldl -76.2736
## x2.age.hdl 49.7601
## x2.age.tch -13.7432
## x2.age.ltg 71.1013
## x2.age.glu 52.4850
## x2.sex.bmi 38.5838
## x2.sex.map 53.9229
## x2.sex.tc 25.1857
## x2.sex.ldl -10.2780
## x2.sex.hdl 56.2221
## x2.sex.tch -10.9587
## x2.sex.ltg 22.1523
## x2.sex.glu 9.2491
## x2.bmi.map 99.9198
## x2.bmi.tc -36.3909
## x2.bmi.ldl -17.3322
## x2.bmi.hdl -25.3136
## x2.bmi.tch 12.1582
## x2.bmi.ltg -7.1765
## x2.bmi.glu 34.3315
## x2.map.tc 39.8010
## x2.map.ldl 17.7191
## x2.map.hdl 70.5389
## x2.map.tch -45.1847
## x2.map.ltg 0.2519
## x2.map.glu -60.6901
## x2.tc.ldl 9.5933
## x2.tc.hdl 28.8212
## x2.tc.tch -27.7142
## x2.tc.ltg -4.7397
## x2.tc.glu 6.6379
## x2.ldl.hdl -2.5317
## x2.ldl.tch 3.0066
## x2.ldl.ltg 22.6919
## x2.ldl.glu 17.8194
## x2.hdl.tch -37.1913
## x2.hdl.ltg 58.0959
## x2.hdl.glu 10.0507
## x2.tch.ltg -41.4807
## x2.tch.glu 43.2836
## x2.ltg.glu -27.7453
##
## , , 5 comps
##
## y
## x2.age 47.8163
## x2.sex -247.1510
## x2.bmi 479.5244
## x2.map 322.4541
## x2.tc -45.9116
## x2.ldl -127.8845
## x2.hdl -191.1120
## x2.tch 124.3898
## x2.ltg 454.2890
## x2.glu 103.2563
## x2.age.2 78.3048
## x2.bmi.2 111.8747
## x2.map.2 0.9135
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## x2.ldl.2 -35.5475
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## x2.tch.2 46.7284
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## x2.age.sex 148.7370
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## x2.age.tc -19.8170
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## x2.age.tch -7.0583
## x2.age.ltg 95.3666
## x2.age.glu 61.0324
## x2.sex.bmi 45.3430
## x2.sex.map 70.6391
## x2.sex.tc 6.6667
## x2.sex.ldl -39.1359
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## x2.sex.tch -32.3562
## x2.sex.ltg 14.9979
## x2.sex.glu 16.9026
## x2.bmi.map 112.0184
## x2.bmi.tc -38.0862
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## x2.bmi.hdl -1.4570
## x2.bmi.tch -10.2428
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## x2.bmi.glu 29.9939
## x2.map.tc 47.6870
## x2.map.ldl 34.4644
## x2.map.hdl 49.3445
## x2.map.tch -30.2316
## x2.map.ltg 14.0853
## x2.map.glu -79.0624
## x2.tc.ldl -0.3455
## x2.tc.hdl 37.9634
## x2.tc.tch -54.0633
## x2.tc.ltg 5.1250
## x2.tc.glu 13.9320
## x2.ldl.hdl -5.5101
## x2.ldl.tch -12.4888
## x2.ldl.ltg 59.3589
## x2.ldl.glu 26.7681
## x2.hdl.tch -54.6767
## x2.hdl.ltg 43.6535
## x2.hdl.glu 2.5548
## x2.tch.ltg -36.3170
## x2.tch.glu 64.3277
## x2.ltg.glu -9.0974
##
## , , 6 comps
##
## y
## x2.age 50.688
## x2.sex -255.271
## x2.bmi 489.276
## x2.map 330.814
## x2.tc -46.692
## x2.ldl -127.713
## x2.hdl -205.370
## x2.tch 133.203
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## x2.bmi.2 77.026
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## x2.age.sex 158.381
## x2.age.bmi -30.225
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## x2.age.ldl -92.540
## x2.age.hdl 65.774
## x2.age.tch -2.694
## x2.age.ltg 99.832
## x2.age.glu 55.435
## x2.sex.bmi 55.110
## x2.sex.map 81.108
## x2.sex.tc 5.653
## x2.sex.ldl -45.364
## x2.sex.hdl 78.645
## x2.sex.tch -40.771
## x2.sex.ltg 8.142
## x2.sex.glu 21.199
## x2.bmi.map 121.543
## x2.bmi.tc -31.243
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## x2.map.tc 46.453
## x2.map.ldl 43.117
## x2.map.hdl 39.532
## x2.map.tch -29.084
## x2.map.ltg 12.752
## x2.map.glu -98.769
## x2.tc.ldl 13.771
## x2.tc.hdl 39.759
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## x2.ldl.hdl -10.696
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## x2.ldl.ltg 91.470
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## x2.hdl.tch -55.234
## x2.hdl.ltg 47.669
## x2.hdl.glu 14.432
## x2.tch.ltg -47.948
## x2.tch.glu 64.443
## x2.ltg.glu -10.113
##
## , , 7 comps
##
## y
## x2.age 51.352
## x2.sex -252.878
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## x2.tc -48.996
## x2.ldl -125.127
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## x2.age.tc -18.273
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## x2.age.tch 8.704
## x2.age.ltg 102.915
## x2.age.glu 48.676
## x2.sex.bmi 86.792
## x2.sex.map 99.603
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## x2.bmi.map 155.530
## x2.bmi.tc -27.290
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## x2.map.tc 36.178
## x2.map.ldl 47.446
## x2.map.hdl 19.902
## x2.map.tch -28.862
## x2.map.ltg 17.093
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## x2.tc.ldl 19.999
## x2.tc.hdl 42.680
## x2.tc.tch -91.310
## x2.tc.ltg -14.387
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## x2.ldl.hdl -24.837
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## x2.hdl.tch -67.223
## x2.hdl.ltg 40.473
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## x2.tch.ltg -71.891
## x2.tch.glu 57.798
## x2.ltg.glu -9.566
##
## , , 8 comps
##
## y
## x2.age 47.503
## x2.sex -251.751
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## x2.map 340.813
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## x2.ldl -120.318
## x2.hdl -217.817
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## x2.bmi.2 40.431
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## x2.ldl.2 -29.452
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## x2.age.sex 165.687
## x2.age.bmi -9.289
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## x2.age.tc -12.155
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## x2.age.tch 17.766
## x2.age.ltg 107.996
## x2.age.glu 45.715
## x2.sex.bmi 91.368
## x2.sex.map 90.925
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## x2.sex.glu 29.682
## x2.bmi.map 173.028
## x2.bmi.tc -23.695
## x2.bmi.ldl -5.630
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## x2.bmi.tch -22.112
## x2.bmi.ltg 31.571
## x2.bmi.glu 33.703
## x2.map.tc 30.456
## x2.map.ldl 46.625
## x2.map.hdl 23.306
## x2.map.tch -43.875
## x2.map.ltg 20.628
## x2.map.glu -129.710
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## x2.tc.tch -114.382
## x2.tc.ltg -33.671
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## x2.ldl.ltg 146.597
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## x2.tch.ltg -87.737
## x2.tch.glu 56.382
## x2.ltg.glu -1.087
##
## , , 9 comps
##
## y
## x2.age 40.267
## x2.sex -250.227
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## x2.bmi.map 180.629
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## x2.tch.ltg -108.285
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## x2.ltg.glu 17.338
##
## , , 10 comps
##
## y
## x2.age 29.3683
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## x2.ldl -109.1354
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##
## , , 11 comps
##
## y
## x2.age 32.454
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##
## , , 12 comps
##
## y
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## x2.tc.glu -78.311
## x2.ldl.hdl -106.914
## x2.ldl.tch -26.198
## x2.ldl.ltg 358.547
## x2.ldl.glu 20.340
## x2.hdl.tch -81.943
## x2.hdl.ltg -26.747
## x2.hdl.glu 143.880
## x2.tch.ltg -214.394
## x2.tch.glu 169.516
## x2.ltg.glu 86.705
##
## , , 13 comps
##
## y
## x2.age 49.8825
## x2.sex -262.2044
## x2.bmi 472.2613
## x2.map 342.6667
## x2.tc -73.2754
## x2.ldl -103.8668
## x2.hdl -224.6329
## x2.tch 120.7444
## x2.ltg 576.7355
## x2.glu 74.2959
## x2.age.2 79.8420
## x2.bmi.2 38.8328
## x2.map.2 -13.3926
## x2.tc.2 16.8284
## x2.ldl.2 0.0773
## x2.hdl.2 -98.2659
## x2.tch.2 91.1254
## x2.ltg.2 163.9417
## x2.glu.2 118.5798
## x2.age.sex 159.2063
## x2.age.bmi -15.4137
## x2.age.map 38.3081
## x2.age.tc -50.4971
## x2.age.ldl -137.4402
## x2.age.hdl 189.2192
## x2.age.tch 171.1289
## x2.age.ltg 80.4253
## x2.age.glu 47.5284
## x2.sex.bmi 86.2380
## x2.sex.map 77.5191
## x2.sex.tc 77.3868
## x2.sex.ldl -122.8470
## x2.sex.hdl 79.3589
## x2.sex.tch 1.3602
## x2.sex.ltg -44.9194
## x2.sex.glu 48.0835
## x2.bmi.map 170.1266
## x2.bmi.tc -138.5483
## x2.bmi.ldl 77.7600
## x2.bmi.hdl 56.9835
## x2.bmi.tch 16.8922
## x2.bmi.ltg -16.2621
## x2.bmi.glu 21.0531
## x2.map.tc -16.5904
## x2.map.ldl 95.3747
## x2.map.hdl 3.8682
## x2.map.tch -66.0219
## x2.map.ltg 19.1583
## x2.map.glu -155.5917
## x2.tc.ldl 161.2606
## x2.tc.hdl 41.2546
## x2.tc.tch -327.8254
## x2.tc.ltg -260.1918
## x2.tc.glu -99.9974
## x2.ldl.hdl -121.1120
## x2.ldl.tch -24.4118
## x2.ldl.ltg 393.5693
## x2.ldl.glu 18.4005
## x2.hdl.tch -80.2150
## x2.hdl.ltg -27.5329
## x2.hdl.glu 171.5203
## x2.tch.ltg -229.6767
## x2.tch.glu 198.9532
## x2.ltg.glu 90.4411
##
## , , 14 comps
##
## y
## x2.age 43.506
## x2.sex -257.196
## x2.bmi 456.776
## x2.map 343.182
## x2.tc -78.492
## x2.ldl -107.243
## x2.hdl -221.551
## x2.tch 114.380
## x2.ltg 594.776
## x2.glu 67.829
## x2.age.2 74.563
## x2.bmi.2 51.724
## x2.map.2 -13.574
## x2.tc.2 12.171
## x2.ldl.2 -5.240
## x2.hdl.2 -112.850
## x2.tch.2 111.921
## x2.ltg.2 195.924
## x2.glu.2 102.730
## x2.age.sex 161.754
## x2.age.bmi -15.790
## x2.age.map 29.649
## x2.age.tc -66.907
## x2.age.ldl -156.755
## x2.age.hdl 201.197
## x2.age.tch 193.511
## x2.age.ltg 74.589
## x2.age.glu 49.022
## x2.sex.bmi 75.480
## x2.sex.map 86.549
## x2.sex.tc 97.446
## x2.sex.ldl -129.840
## x2.sex.hdl 81.227
## x2.sex.tch -3.750
## x2.sex.ltg -53.134
## x2.sex.glu 44.122
## x2.bmi.map 175.714
## x2.bmi.tc -155.378
## x2.bmi.ldl 86.831
## x2.bmi.hdl 67.035
## x2.bmi.tch 17.573
## x2.bmi.ltg -13.018
## x2.bmi.glu 34.784
## x2.map.tc -17.705
## x2.map.ldl 99.988
## x2.map.hdl 7.301
## x2.map.tch -60.040
## x2.map.ltg 17.476
## x2.map.glu -147.406
## x2.tc.ldl 173.737
## x2.tc.hdl 45.127
## x2.tc.tch -344.565
## x2.tc.ltg -299.139
## x2.tc.glu -109.952
## x2.ldl.hdl -130.705
## x2.ldl.tch -24.650
## x2.ldl.ltg 421.395
## x2.ldl.glu 27.370
## x2.hdl.tch -71.901
## x2.hdl.ltg -21.879
## x2.hdl.glu 197.109
## x2.tch.ltg -238.660
## x2.tch.glu 226.962
## x2.ltg.glu 87.097
##
## , , 15 comps
##
## y
## x2.age 40.664
## x2.sex -248.610
## x2.bmi 445.071
## x2.map 344.377
## x2.tc -71.046
## x2.ldl -97.428
## x2.hdl -211.519
## x2.tch 112.173
## x2.ltg 610.257
## x2.glu 64.254
## x2.age.2 78.373
## x2.bmi.2 56.603
## x2.map.2 -16.466
## x2.tc.2 9.014
## x2.ldl.2 -14.798
## x2.hdl.2 -110.823
## x2.tch.2 132.659
## x2.ltg.2 214.487
## x2.glu.2 92.620
## x2.age.sex 167.611
## x2.age.bmi -19.647
## x2.age.map 25.587
## x2.age.tc -72.590
## x2.age.ldl -164.416
## x2.age.hdl 208.164
## x2.age.tch 217.902
## x2.age.ltg 75.096
## x2.age.glu 52.923
## x2.sex.bmi 66.800
## x2.sex.map 90.622
## x2.sex.tc 111.200
## x2.sex.ldl -141.334
## x2.sex.hdl 67.447
## x2.sex.tch -11.385
## x2.sex.ltg -55.723
## x2.sex.glu 42.981
## x2.bmi.map 174.383
## x2.bmi.tc -170.848
## x2.bmi.ldl 94.016
## x2.bmi.hdl 73.477
## x2.bmi.tch 14.909
## x2.bmi.ltg -5.452
## x2.bmi.glu 42.788
## x2.map.tc -13.044
## x2.map.ldl 103.074
## x2.map.hdl 18.674
## x2.map.tch -58.740
## x2.map.ltg 16.179
## x2.map.glu -141.811
## x2.tc.ldl 183.326
## x2.tc.hdl 61.106
## x2.tc.tch -359.433
## x2.tc.ltg -336.635
## x2.tc.glu -119.278
## x2.ldl.hdl -136.304
## x2.ldl.tch -28.181
## x2.ldl.ltg 449.587
## x2.ldl.glu 40.510
## x2.hdl.tch -66.061
## x2.hdl.ltg -10.465
## x2.hdl.glu 210.755
## x2.tch.ltg -242.083
## x2.tch.glu 259.727
## x2.ltg.glu 79.548
##
## , , 16 comps
##
## y
## x2.age 39.861
## x2.sex -244.796
## x2.bmi 446.130
## x2.map 346.716
## x2.tc -71.029
## x2.ldl -94.739
## x2.hdl -200.613
## x2.tch 103.255
## x2.ltg 620.429
## x2.glu 67.678
## x2.age.2 78.680
## x2.bmi.2 57.165
## x2.map.2 -16.411
## x2.tc.2 5.194
## x2.ldl.2 -26.137
## x2.hdl.2 -113.955
## x2.tch.2 147.760
## x2.ltg.2 234.578
## x2.glu.2 85.195
## x2.age.sex 164.658
## x2.age.bmi -23.574
## x2.age.map 22.950
## x2.age.tc -74.364
## x2.age.ldl -168.279
## x2.age.hdl 215.162
## x2.age.tch 231.954
## x2.age.ltg 76.665
## x2.age.glu 47.625
## x2.sex.bmi 68.011
## x2.sex.map 92.187
## x2.sex.tc 129.015
## x2.sex.ldl -154.649
## x2.sex.hdl 46.785
## x2.sex.tch -27.023
## x2.sex.ltg -48.338
## x2.sex.glu 42.053
## x2.bmi.map 172.113
## x2.bmi.tc -181.296
## x2.bmi.ldl 103.325
## x2.bmi.hdl 77.220
## x2.bmi.tch 7.288
## x2.bmi.ltg 13.804
## x2.bmi.glu 39.470
## x2.map.tc -8.332
## x2.map.ldl 98.310
## x2.map.hdl 25.335
## x2.map.tch -59.066
## x2.map.ltg 25.102
## x2.map.glu -136.895
## x2.tc.ldl 192.439
## x2.tc.hdl 65.981
## x2.tc.tch -359.155
## x2.tc.ltg -368.722
## x2.tc.glu -138.752
## x2.ldl.hdl -145.470
## x2.ldl.tch -31.706
## x2.ldl.ltg 482.162
## x2.ldl.glu 40.226
## x2.hdl.tch -43.487
## x2.hdl.ltg 1.087
## x2.hdl.glu 225.519
## x2.tch.ltg -231.029
## x2.tch.glu 281.515
## x2.ltg.glu 70.782
##
## , , 17 comps
##
## y
## x2.age 39.845
## x2.sex -244.366
## x2.bmi 451.213
## x2.map 341.223
## x2.tc -79.214
## x2.ldl -94.501
## x2.hdl -197.878
## x2.tch 98.157
## x2.ltg 628.374
## x2.glu 72.647
## x2.age.2 76.621
## x2.bmi.2 53.716
## x2.map.2 -19.699
## x2.tc.2 -2.407
## x2.ldl.2 -35.661
## x2.hdl.2 -114.534
## x2.tch.2 166.138
## x2.ltg.2 250.116
## x2.glu.2 92.414
## x2.age.sex 162.500
## x2.age.bmi -20.764
## x2.age.map 24.571
## x2.age.tc -78.088
## x2.age.ldl -168.944
## x2.age.hdl 216.907
## x2.age.tch 244.607
## x2.age.ltg 71.107
## x2.age.glu 48.447
## x2.sex.bmi 69.674
## x2.sex.map 90.928
## x2.sex.tc 151.749
## x2.sex.ldl -165.405
## x2.sex.hdl 21.815
## x2.sex.tch -48.632
## x2.sex.ltg -47.269
## x2.sex.glu 40.661
## x2.bmi.map 163.972
## x2.bmi.tc -196.838
## x2.bmi.ldl 114.858
## x2.bmi.hdl 77.595
## x2.bmi.tch -5.440
## x2.bmi.ltg 28.465
## x2.bmi.glu 36.427
## x2.map.tc -10.134
## x2.map.ldl 88.177
## x2.map.hdl 26.359
## x2.map.tch -62.178
## x2.map.ltg 26.402
## x2.map.glu -129.218
## x2.tc.ldl 202.468
## x2.tc.hdl 66.977
## x2.tc.tch -353.148
## x2.tc.ltg -415.747
## x2.tc.glu -153.843
## x2.ldl.hdl -162.799
## x2.ldl.tch -32.061
## x2.ldl.ltg 508.716
## x2.ldl.glu 46.848
## x2.hdl.tch -15.301
## x2.hdl.ltg 19.160
## x2.hdl.glu 238.308
## x2.tch.ltg -220.745
## x2.tch.glu 309.259
## x2.ltg.glu 65.193
##
## , , 18 comps
##
## y
## x2.age 41.9107
## x2.sex -246.9820
## x2.bmi 456.8200
## x2.map 331.2384
## x2.tc -85.1219
## x2.ldl -90.7723
## x2.hdl -197.5778
## x2.tch 99.9251
## x2.ltg 643.5443
## x2.glu 72.0670
## x2.age.2 72.8374
## x2.bmi.2 48.0762
## x2.map.2 -18.1296
## x2.tc.2 -4.3221
## x2.ldl.2 -45.6748
## x2.hdl.2 -100.5042
## x2.tch.2 189.6281
## x2.ltg.2 281.5946
## x2.glu.2 102.3620
## x2.age.sex 156.6118
## x2.age.bmi -10.3959
## x2.age.map 33.5085
## x2.age.tc -81.1820
## x2.age.ldl -167.5962
## x2.age.hdl 223.6611
## x2.age.tch 250.6117
## x2.age.ltg 58.3412
## x2.age.glu 47.2699
## x2.sex.bmi 72.5685
## x2.sex.map 85.2057
## x2.sex.tc 183.3704
## x2.sex.ldl -175.9367
## x2.sex.hdl -14.1683
## x2.sex.tch -78.8024
## x2.sex.ltg -57.4036
## x2.sex.glu 31.6155
## x2.bmi.map 157.4098
## x2.bmi.tc -217.2574
## x2.bmi.ldl 136.6909
## x2.bmi.hdl 71.7783
## x2.bmi.tch -23.1836
## x2.bmi.ltg 42.2545
## x2.bmi.glu 31.5515
## x2.map.tc -0.2253
## x2.map.ldl 88.1786
## x2.map.hdl 15.2648
## x2.map.tch -53.5965
## x2.map.ltg 31.3815
## x2.map.glu -120.3795
## x2.tc.ldl 218.3267
## x2.tc.hdl 80.6677
## x2.tc.tch -346.8508
## x2.tc.ltg -474.3293
## x2.tc.glu -173.9930
## x2.ldl.hdl -180.4318
## x2.ldl.tch -39.9099
## x2.ldl.ltg 536.3007
## x2.ldl.glu 49.4515
## x2.hdl.tch 20.4211
## x2.hdl.ltg 48.1398
## x2.hdl.glu 265.4188
## x2.tch.ltg -202.3426
## x2.tch.glu 333.7355
## x2.ltg.glu 58.2877
##
## , , 19 comps
##
## y
## x2.age 40.071
## x2.sex -250.377
## x2.bmi 461.945
## x2.map 322.341
## x2.tc -87.348
## x2.ldl -84.671
## x2.hdl -198.084
## x2.tch 105.047
## x2.ltg 653.551
## x2.glu 64.820
## x2.age.2 72.883
## x2.bmi.2 48.263
## x2.map.2 -20.613
## x2.tc.2 -5.732
## x2.ldl.2 -57.820
## x2.hdl.2 -86.663
## x2.tch.2 206.275
## x2.ltg.2 321.545
## x2.glu.2 111.117
## x2.age.sex 164.052
## x2.age.bmi -5.617
## x2.age.map 32.231
## x2.age.tc -82.492
## x2.age.ldl -165.425
## x2.age.hdl 227.144
## x2.age.tch 253.424
## x2.age.ltg 50.937
## x2.age.glu 47.053
## x2.sex.bmi 75.487
## x2.sex.map 78.431
## x2.sex.tc 222.941
## x2.sex.ldl -180.338
## x2.sex.hdl -39.054
## x2.sex.tch -104.344
## x2.sex.ltg -63.296
## x2.sex.glu 36.908
## x2.bmi.map 149.763
## x2.bmi.tc -229.128
## x2.bmi.ldl 166.940
## x2.bmi.hdl 64.757
## x2.bmi.tch -36.899
## x2.bmi.ltg 50.304
## x2.bmi.glu 32.106
## x2.map.tc 4.493
## x2.map.ldl 81.341
## x2.map.hdl 10.327
## x2.map.tch -56.225
## x2.map.ltg 23.307
## x2.map.glu -123.137
## x2.tc.ldl 228.612
## x2.tc.hdl 92.265
## x2.tc.tch -344.069
## x2.tc.ltg -519.498
## x2.tc.glu -191.021
## x2.ldl.hdl -194.240
## x2.ldl.tch -58.136
## x2.ldl.ltg 556.085
## x2.ldl.glu 47.668
## x2.hdl.tch 55.228
## x2.hdl.ltg 75.521
## x2.hdl.glu 286.064
## x2.tch.ltg -177.751
## x2.tch.glu 352.079
## x2.ltg.glu 61.085
##
## , , 20 comps
##
## y
## x2.age 43.410
## x2.sex -249.966
## x2.bmi 462.381
## x2.map 334.000
## x2.tc -93.174
## x2.ldl -78.298
## x2.hdl -194.642
## x2.tch 109.093
## x2.ltg 651.544
## x2.glu 59.699
## x2.age.2 74.256
## x2.bmi.2 49.781
## x2.map.2 -6.923
## x2.tc.2 -5.673
## x2.ldl.2 -63.406
## x2.hdl.2 -69.260
## x2.tch.2 225.084
## x2.ltg.2 352.356
## x2.glu.2 116.099
## x2.age.sex 169.745
## x2.age.bmi -6.464
## x2.age.map 18.813
## x2.age.tc -84.383
## x2.age.ldl -164.181
## x2.age.hdl 223.468
## x2.age.tch 253.892
## x2.age.ltg 54.301
## x2.age.glu 50.393
## x2.sex.bmi 72.654
## x2.sex.map 70.171
## x2.sex.tc 254.940
## x2.sex.ldl -198.034
## x2.sex.hdl -61.838
## x2.sex.tch -133.290
## x2.sex.ltg -73.880
## x2.sex.glu 49.828
## x2.bmi.map 156.777
## x2.bmi.tc -243.515
## x2.bmi.ldl 201.472
## x2.bmi.hdl 58.113
## x2.bmi.tch -56.456
## x2.bmi.ltg 46.727
## x2.bmi.glu 31.627
## x2.map.tc 13.329
## x2.map.ldl 78.990
## x2.map.hdl -1.847
## x2.map.tch -55.123
## x2.map.ltg 11.279
## x2.map.glu -127.604
## x2.tc.ldl 242.824
## x2.tc.hdl 95.430
## x2.tc.tch -339.473
## x2.tc.ltg -569.825
## x2.tc.glu -208.044
## x2.ldl.hdl -218.502
## x2.ldl.tch -77.276
## x2.ldl.ltg 574.568
## x2.ldl.glu 47.001
## x2.hdl.tch 87.722
## x2.hdl.ltg 106.137
## x2.hdl.glu 300.176
## x2.tch.ltg -151.639
## x2.tch.glu 364.870
## x2.ltg.glu 66.480
##
## , , 21 comps
##
## y
## x2.age 41.2088
## x2.sex -249.4233
## x2.bmi 455.4620
## x2.map 340.5028
## x2.tc -102.6148
## x2.ldl -75.1749
## x2.hdl -199.7527
## x2.tch 118.8339
## x2.ltg 649.6384
## x2.glu 58.9728
## x2.age.2 78.3963
## x2.bmi.2 53.2025
## x2.map.2 -7.0237
## x2.tc.2 -3.6172
## x2.ldl.2 -63.8418
## x2.hdl.2 -61.3888
## x2.tch.2 242.4722
## x2.ltg.2 367.8345
## x2.glu.2 115.8326
## x2.age.sex 161.0408
## x2.age.bmi -8.1406
## x2.age.map 12.0348
## x2.age.tc -80.0118
## x2.age.ldl -163.8094
## x2.age.hdl 230.4265
## x2.age.tch 242.1314
## x2.age.ltg 67.2766
## x2.age.glu 58.5747
## x2.sex.bmi 72.6758
## x2.sex.map 73.4231
## x2.sex.tc 278.8387
## x2.sex.ldl -217.6380
## x2.sex.hdl -82.0897
## x2.sex.tch -142.6691
## x2.sex.ltg -76.6026
## x2.sex.glu 55.6071
## x2.bmi.map 158.7764
## x2.bmi.tc -256.8403
## x2.bmi.ldl 221.4243
## x2.bmi.hdl 55.4061
## x2.bmi.tch -69.1464
## x2.bmi.ltg 49.8762
## x2.bmi.glu 34.0112
## x2.map.tc 24.3485
## x2.map.ldl 74.9451
## x2.map.hdl -7.2834
## x2.map.tch -53.5906
## x2.map.ltg 0.4803
## x2.map.glu -139.0805
## x2.tc.ldl 256.7558
## x2.tc.hdl 94.4238
## x2.tc.tch -339.8538
## x2.tc.ltg -613.6547
## x2.tc.glu -213.0840
## x2.ldl.hdl -231.9475
## x2.ldl.tch -99.7167
## x2.ldl.ltg 583.9668
## x2.ldl.glu 50.3172
## x2.hdl.tch 110.2768
## x2.hdl.ltg 125.1742
## x2.hdl.glu 311.0499
## x2.tch.ltg -127.4127
## x2.tch.glu 368.0891
## x2.ltg.glu 75.2938
##
## , , 22 comps
##
## y
## x2.age 45.945
## x2.sex -258.743
## x2.bmi 447.252
## x2.map 340.499
## x2.tc -103.739
## x2.ldl -69.230
## x2.hdl -195.057
## x2.tch 124.092
## x2.ltg 649.783
## x2.glu 62.975
## x2.age.2 75.682
## x2.bmi.2 55.614
## x2.map.2 -9.027
## x2.tc.2 1.085
## x2.ldl.2 -62.992
## x2.hdl.2 -59.230
## x2.tch.2 253.458
## x2.ltg.2 374.689
## x2.glu.2 113.914
## x2.age.sex 160.640
## x2.age.bmi -13.356
## x2.age.map 13.305
## x2.age.tc -79.380
## x2.age.ldl -163.625
## x2.age.hdl 227.069
## x2.age.tch 230.828
## x2.age.ltg 80.476
## x2.age.glu 60.097
## x2.sex.bmi 73.765
## x2.sex.map 80.911
## x2.sex.tc 302.603
## x2.sex.ldl -231.066
## x2.sex.hdl -88.213
## x2.sex.tch -149.218
## x2.sex.ltg -88.009
## x2.sex.glu 54.855
## x2.bmi.map 158.189
## x2.bmi.tc -271.504
## x2.bmi.ldl 234.587
## x2.bmi.hdl 49.371
## x2.bmi.tch -76.121
## x2.bmi.ltg 56.630
## x2.bmi.glu 36.203
## x2.map.tc 35.969
## x2.map.ldl 69.208
## x2.map.hdl -13.807
## x2.map.tch -51.410
## x2.map.ltg -3.507
## x2.map.glu -147.872
## x2.tc.ldl 269.561
## x2.tc.hdl 88.612
## x2.tc.tch -345.046
## x2.tc.ltg -645.192
## x2.tc.glu -217.022
## x2.ldl.hdl -244.972
## x2.ldl.tch -123.787
## x2.ldl.ltg 594.904
## x2.ldl.glu 56.464
## x2.hdl.tch 128.687
## x2.hdl.ltg 143.878
## x2.hdl.glu 310.317
## x2.tch.ltg -111.495
## x2.tch.glu 367.056
## x2.ltg.glu 81.851
##
## , , 23 comps
##
## y
## x2.age 50.298
## x2.sex -260.026
## x2.bmi 436.389
## x2.map 339.970
## x2.tc -114.487
## x2.ldl -72.200
## x2.hdl -193.106
## x2.tch 133.071
## x2.ltg 654.504
## x2.glu 67.100
## x2.age.2 71.836
## x2.bmi.2 54.355
## x2.map.2 -8.585
## x2.tc.2 12.822
## x2.ldl.2 -64.579
## x2.hdl.2 -55.319
## x2.tch.2 275.641
## x2.ltg.2 384.852
## x2.glu.2 110.065
## x2.age.sex 164.841
## x2.age.bmi -17.406
## x2.age.map 17.478
## x2.age.tc -84.222
## x2.age.ldl -161.723
## x2.age.hdl 214.069
## x2.age.tch 214.833
## x2.age.ltg 89.361
## x2.age.glu 60.563
## x2.sex.bmi 76.604
## x2.sex.map 80.013
## x2.sex.tc 330.909
## x2.sex.ldl -250.925
## x2.sex.hdl -105.225
## x2.sex.tch -142.228
## x2.sex.ltg -109.790
## x2.sex.glu 51.382
## x2.bmi.map 162.587
## x2.bmi.tc -288.639
## x2.bmi.ldl 254.273
## x2.bmi.hdl 51.634
## x2.bmi.tch -85.902
## x2.bmi.ltg 65.260
## x2.bmi.glu 37.966
## x2.map.tc 52.127
## x2.map.ldl 50.241
## x2.map.hdl -14.559
## x2.map.tch -56.488
## x2.map.ltg -4.390
## x2.map.glu -148.878
## x2.tc.ldl 286.005
## x2.tc.hdl 80.061
## x2.tc.tch -356.827
## x2.tc.ltg -677.008
## x2.tc.glu -221.348
## x2.ldl.hdl -263.683
## x2.ldl.tch -162.167
## x2.ldl.ltg 615.495
## x2.ldl.glu 66.450
## x2.hdl.tch 144.823
## x2.hdl.ltg 172.865
## x2.hdl.glu 305.813
## x2.tch.ltg -88.466
## x2.tch.glu 357.174
## x2.ltg.glu 88.489
##
## , , 24 comps
##
## y
## x2.age 40.836
## x2.sex -260.283
## x2.bmi 437.231
## x2.map 334.274
## x2.tc -120.856
## x2.ldl -73.272
## x2.hdl -182.588
## x2.tch 141.641
## x2.ltg 665.359
## x2.glu 66.536
## x2.age.2 74.278
## x2.bmi.2 56.978
## x2.map.2 -9.616
## x2.tc.2 30.575
## x2.ldl.2 -65.906
## x2.hdl.2 -53.711
## x2.tch.2 308.324
## x2.ltg.2 392.979
## x2.glu.2 107.288
## x2.age.sex 166.530
## x2.age.bmi -18.698
## x2.age.map 14.640
## x2.age.tc -80.930
## x2.age.ldl -143.837
## x2.age.hdl 204.290
## x2.age.tch 194.339
## x2.age.ltg 84.835
## x2.age.glu 57.340
## x2.sex.bmi 73.908
## x2.sex.map 82.076
## x2.sex.tc 367.061
## x2.sex.ldl -284.137
## x2.sex.hdl -111.525
## x2.sex.tch -133.649
## x2.sex.ltg -132.421
## x2.sex.glu 51.315
## x2.bmi.map 167.558
## x2.bmi.tc -313.518
## x2.bmi.ldl 277.782
## x2.bmi.hdl 58.544
## x2.bmi.tch -95.518
## x2.bmi.ltg 69.802
## x2.bmi.glu 37.984
## x2.map.tc 72.591
## x2.map.ldl 25.410
## x2.map.hdl -22.787
## x2.map.tch -58.191
## x2.map.ltg -8.208
## x2.map.glu -137.118
## x2.tc.ldl 307.920
## x2.tc.hdl 66.632
## x2.tc.tch -372.049
## x2.tc.ltg -721.142
## x2.tc.glu -231.148
## x2.ldl.hdl -282.302
## x2.ldl.tch -212.267
## x2.ldl.ltg 637.974
## x2.ldl.glu 78.641
## x2.hdl.tch 162.151
## x2.hdl.ltg 196.453
## x2.hdl.glu 290.017
## x2.tch.ltg -58.173
## x2.tch.glu 340.675
## x2.ltg.glu 89.318
##
## , , 25 comps
##
## y
## x2.age 41.374
## x2.sex -254.190
## x2.bmi 443.542
## x2.map 338.184
## x2.tc -122.643
## x2.ldl -75.038
## x2.hdl -169.887
## x2.tch 139.237
## x2.ltg 668.994
## x2.glu 70.045
## x2.age.2 74.975
## x2.bmi.2 56.154
## x2.map.2 -15.287
## x2.tc.2 41.809
## x2.ldl.2 -66.423
## x2.hdl.2 -49.535
## x2.tch.2 326.121
## x2.ltg.2 401.153
## x2.glu.2 107.677
## x2.age.sex 169.642
## x2.age.bmi -10.294
## x2.age.map 10.544
## x2.age.tc -83.825
## x2.age.ldl -138.299
## x2.age.hdl 196.332
## x2.age.tch 184.999
## x2.age.ltg 84.031
## x2.age.glu 58.076
## x2.sex.bmi 71.854
## x2.sex.map 81.134
## x2.sex.tc 387.926
## x2.sex.ldl -305.472
## x2.sex.hdl -110.472
## x2.sex.tch -126.897
## x2.sex.ltg -137.565
## x2.sex.glu 50.487
## x2.bmi.map 160.599
## x2.bmi.tc -323.965
## x2.bmi.ldl 293.567
## x2.bmi.hdl 64.281
## x2.bmi.tch -95.426
## x2.bmi.ltg 75.231
## x2.bmi.glu 33.493
## x2.map.tc 87.019
## x2.map.ldl 11.395
## x2.map.hdl -28.053
## x2.map.tch -56.939
## x2.map.ltg -7.062
## x2.map.glu -132.719
## x2.tc.ldl 318.381
## x2.tc.hdl 61.837
## x2.tc.tch -379.559
## x2.tc.ltg -746.753
## x2.tc.glu -227.679
## x2.ldl.hdl -291.606
## x2.ldl.tch -236.202
## x2.ldl.ltg 642.760
## x2.ldl.glu 88.918
## x2.hdl.tch 171.967
## x2.hdl.ltg 207.427
## x2.hdl.glu 287.530
## x2.tch.ltg -50.161
## x2.tch.glu 325.620
## x2.ltg.glu 92.123
##
## , , 26 comps
##
## y
## x2.age 40.1727
## x2.sex -256.6505
## x2.bmi 447.2579
## x2.map 337.4258
## x2.tc -122.0443
## x2.ldl -71.1333
## x2.hdl -165.9360
## x2.tch 141.1521
## x2.ltg 667.2398
## x2.glu 64.7782
## x2.age.2 72.9039
## x2.bmi.2 57.5160
## x2.map.2 -9.8293
## x2.tc.2 49.8335
## x2.ldl.2 -73.5310
## x2.hdl.2 -46.2462
## x2.tch.2 343.9250
## x2.ltg.2 410.1857
## x2.glu.2 109.5233
## x2.age.sex 172.3803
## x2.age.bmi 0.1999
## x2.age.map 7.3476
## x2.age.tc -87.1383
## x2.age.ldl -135.3854
## x2.age.hdl 193.6153
## x2.age.tch 179.5661
## x2.age.ltg 84.4982
## x2.age.glu 59.1199
## x2.sex.bmi 76.2152
## x2.sex.map 83.4043
## x2.sex.tc 398.3164
## x2.sex.ldl -325.8334
## x2.sex.hdl -108.9914
## x2.sex.tch -120.4908
## x2.sex.ltg -138.9072
## x2.sex.glu 49.2603
## x2.bmi.map 153.1892
## x2.bmi.tc -336.5634
## x2.bmi.ldl 299.8683
## x2.bmi.hdl 74.3002
## x2.bmi.tch -92.6454
## x2.bmi.ltg 80.9119
## x2.bmi.glu 32.0385
## x2.map.tc 99.7003
## x2.map.ldl 0.9160
## x2.map.hdl -30.3395
## x2.map.tch -55.8946
## x2.map.ltg -8.7487
## x2.map.glu -135.3761
## x2.tc.ldl 319.3853
## x2.tc.hdl 58.6580
## x2.tc.tch -379.9735
## x2.tc.ltg -758.7149
## x2.tc.glu -227.1786
## x2.ldl.hdl -301.1562
## x2.ldl.tch -245.2108
## x2.ldl.ltg 647.1269
## x2.ldl.glu 94.1157
## x2.hdl.tch 180.6867
## x2.hdl.ltg 217.6492
## x2.hdl.glu 281.1557
## x2.tch.ltg -51.8257
## x2.tch.glu 313.2207
## x2.ltg.glu 93.9303
##
## , , 27 comps
##
## y
## x2.age 42.125
## x2.sex -253.837
## x2.bmi 448.497
## x2.map 339.385
## x2.tc -125.835
## x2.ldl -72.338
## x2.hdl -164.189
## x2.tch 139.986
## x2.ltg 667.554
## x2.glu 65.071
## x2.age.2 70.694
## x2.bmi.2 60.116
## x2.map.2 -4.221
## x2.tc.2 61.689
## x2.ldl.2 -84.465
## x2.hdl.2 -39.267
## x2.tch.2 359.636
## x2.ltg.2 420.457
## x2.glu.2 112.328
## x2.age.sex 171.003
## x2.age.bmi 3.792
## x2.age.map 4.227
## x2.age.tc -88.412
## x2.age.ldl -129.083
## x2.age.hdl 193.250
## x2.age.tch 177.433
## x2.age.ltg 83.694
## x2.age.glu 58.520
## x2.sex.bmi 80.738
## x2.sex.map 80.614
## x2.sex.tc 412.707
## x2.sex.ldl -340.126
## x2.sex.hdl -106.721
## x2.sex.tch -113.298
## x2.sex.ltg -144.378
## x2.sex.glu 48.382
## x2.bmi.map 147.822
## x2.bmi.tc -351.538
## x2.bmi.ldl 304.572
## x2.bmi.hdl 87.198
## x2.bmi.tch -87.568
## x2.bmi.ltg 91.903
## x2.bmi.glu 30.909
## x2.map.tc 113.835
## x2.map.ldl -7.774
## x2.map.hdl -37.724
## x2.map.tch -52.452
## x2.map.ltg -18.625
## x2.map.glu -143.886
## x2.tc.ldl 318.520
## x2.tc.hdl 59.253
## x2.tc.tch -378.561
## x2.tc.ltg -769.519
## x2.tc.glu -226.368
## x2.ldl.hdl -308.093
## x2.ldl.tch -252.800
## x2.ldl.ltg 652.306
## x2.ldl.glu 102.404
## x2.hdl.tch 194.820
## x2.hdl.ltg 221.526
## x2.hdl.glu 267.253
## x2.tch.ltg -57.186
## x2.tch.glu 301.199
## x2.ltg.glu 92.702
##
## , , 28 comps
##
## y
## x2.age 40.5303
## x2.sex -253.1099
## x2.bmi 445.4045
## x2.map 338.6354
## x2.tc -126.3342
## x2.ldl -71.0646
## x2.hdl -162.0133
## x2.tch 138.7515
## x2.ltg 671.7435
## x2.glu 68.3837
## x2.age.2 75.3248
## x2.bmi.2 58.6730
## x2.map.2 0.5406
## x2.tc.2 77.5475
## x2.ldl.2 -97.9360
## x2.hdl.2 -26.9576
## x2.tch.2 375.9828
## x2.ltg.2 430.7616
## x2.glu.2 115.7838
## x2.age.sex 170.6534
## x2.age.bmi 0.3834
## x2.age.map 10.5247
## x2.age.tc -94.8034
## x2.age.ldl -128.3644
## x2.age.hdl 194.2818
## x2.age.tch 175.5643
## x2.age.ltg 85.0444
## x2.age.glu 63.1075
## x2.sex.bmi 84.9218
## x2.sex.map 79.8816
## x2.sex.tc 427.4399
## x2.sex.ldl -357.5647
## x2.sex.hdl -104.9575
## x2.sex.tch -109.1252
## x2.sex.ltg -149.3735
## x2.sex.glu 50.9910
## x2.bmi.map 145.2560
## x2.bmi.tc -366.3912
## x2.bmi.ldl 314.9940
## x2.bmi.hdl 105.6735
## x2.bmi.tch -80.5306
## x2.bmi.ltg 101.8582
## x2.bmi.glu 31.1301
## x2.map.tc 128.9047
## x2.map.ldl -22.7450
## x2.map.hdl -47.8307
## x2.map.tch -49.5789
## x2.map.ltg -31.0000
## x2.map.glu -146.9140
## x2.tc.ldl 316.3789
## x2.tc.hdl 58.6680
## x2.tc.tch -373.6866
## x2.tc.ltg -782.3575
## x2.tc.glu -225.5510
## x2.ldl.hdl -318.2316
## x2.ldl.tch -258.5211
## x2.ldl.ltg 657.2504
## x2.ldl.glu 108.4678
## x2.hdl.tch 213.6574
## x2.hdl.ltg 219.1563
## x2.hdl.glu 254.4779
## x2.tch.ltg -66.1399
## x2.tch.glu 281.0196
## x2.ltg.glu 90.6837
##
## , , 29 comps
##
## y
## x2.age 43.757
## x2.sex -257.385
## x2.bmi 449.042
## x2.map 333.512
## x2.tc -128.646
## x2.ldl -66.142
## x2.hdl -165.494
## x2.tch 138.693
## x2.ltg 672.925
## x2.glu 66.740
## x2.age.2 71.590
## x2.bmi.2 61.627
## x2.map.2 -4.078
## x2.tc.2 103.303
## x2.ldl.2 -120.117
## x2.hdl.2 -5.618
## x2.tch.2 399.405
## x2.ltg.2 442.496
## x2.glu.2 117.424
## x2.age.sex 166.184
## x2.age.bmi -11.388
## x2.age.map 14.235
## x2.age.tc -100.002
## x2.age.ldl -121.843
## x2.age.hdl 194.053
## x2.age.tch 183.754
## x2.age.ltg 92.224
## x2.age.glu 59.006
## x2.sex.bmi 80.988
## x2.sex.map 78.332
## x2.sex.tc 448.037
## x2.sex.ldl -380.495
## x2.sex.hdl -110.538
## x2.sex.tch -102.182
## x2.sex.ltg -155.160
## x2.sex.glu 53.213
## x2.bmi.map 150.088
## x2.bmi.tc -393.130
## x2.bmi.ldl 333.493
## x2.bmi.hdl 130.529
## x2.bmi.tch -64.549
## x2.bmi.ltg 109.804
## x2.bmi.glu 32.311
## x2.map.tc 157.487
## x2.map.ldl -49.365
## x2.map.hdl -58.696
## x2.map.tch -45.515
## x2.map.ltg -43.841
## x2.map.glu -145.143
## x2.tc.ldl 310.644
## x2.tc.hdl 56.787
## x2.tc.tch -365.331
## x2.tc.ltg -801.597
## x2.tc.glu -218.340
## x2.ldl.hdl -334.474
## x2.ldl.tch -266.194
## x2.ldl.ltg 663.036
## x2.ldl.glu 115.235
## x2.hdl.tch 245.024
## x2.hdl.ltg 211.890
## x2.hdl.glu 240.791
## x2.tch.ltg -84.636
## x2.tch.glu 249.461
## x2.ltg.glu 94.993
##
## , , 30 comps
##
## y
## x2.age 48.479
## x2.sex -255.779
## x2.bmi 448.261
## x2.map 336.908
## x2.tc -131.482
## x2.ldl -62.086
## x2.hdl -169.989
## x2.tch 136.514
## x2.ltg 671.361
## x2.glu 63.886
## x2.age.2 71.968
## x2.bmi.2 56.124
## x2.map.2 -9.745
## x2.tc.2 125.657
## x2.ldl.2 -137.497
## x2.hdl.2 8.889
## x2.tch.2 417.404
## x2.ltg.2 447.396
## x2.glu.2 116.643
## x2.age.sex 167.312
## x2.age.bmi -9.053
## x2.age.map 20.723
## x2.age.tc -106.243
## x2.age.ldl -118.317
## x2.age.hdl 199.933
## x2.age.tch 186.169
## x2.age.ltg 93.898
## x2.age.glu 52.683
## x2.sex.bmi 79.089
## x2.sex.map 82.023
## x2.sex.tc 463.676
## x2.sex.ldl -394.474
## x2.sex.hdl -113.414
## x2.sex.tch -102.342
## x2.sex.ltg -160.711
## x2.sex.glu 53.515
## x2.bmi.map 158.014
## x2.bmi.tc -419.211
## x2.bmi.ldl 347.120
## x2.bmi.hdl 143.851
## x2.bmi.tch -46.225
## x2.bmi.ltg 110.795
## x2.bmi.glu 30.857
## x2.map.tc 183.540
## x2.map.ldl -70.428
## x2.map.hdl -60.728
## x2.map.tch -45.157
## x2.map.ltg -55.079
## x2.map.glu -143.503
## x2.tc.ldl 305.787
## x2.tc.hdl 53.359
## x2.tc.tch -357.829
## x2.tc.ltg -813.591
## x2.tc.glu -212.982
## x2.ldl.hdl -344.563
## x2.ldl.tch -273.968
## x2.ldl.ltg 668.384
## x2.ldl.glu 116.560
## x2.hdl.tch 271.775
## x2.hdl.ltg 202.292
## x2.hdl.glu 227.788
## x2.tch.ltg -96.235
## x2.tch.glu 233.180
## x2.ltg.glu 100.313
##
## , , 31 comps
##
## y
## x2.age 44.291
## x2.sex -259.270
## x2.bmi 448.584
## x2.map 339.141
## x2.tc -130.150
## x2.ldl -56.989
## x2.hdl -171.099
## x2.tch 133.327
## x2.ltg 670.504
## x2.glu 65.426
## x2.age.2 74.382
## x2.bmi.2 52.960
## x2.map.2 -10.235
## x2.tc.2 139.935
## x2.ldl.2 -148.526
## x2.hdl.2 16.441
## x2.tch.2 427.457
## x2.ltg.2 447.027
## x2.glu.2 116.835
## x2.age.sex 165.084
## x2.age.bmi -5.425
## x2.age.map 18.418
## x2.age.tc -113.246
## x2.age.ldl -117.175
## x2.age.hdl 201.414
## x2.age.tch 188.837
## x2.age.ltg 93.690
## x2.age.glu 53.796
## x2.sex.bmi 76.811
## x2.sex.map 81.928
## x2.sex.tc 473.072
## x2.sex.ldl -398.081
## x2.sex.hdl -118.880
## x2.sex.tch -100.937
## x2.sex.ltg -165.164
## x2.sex.glu 49.687
## x2.bmi.map 164.646
## x2.bmi.tc -435.429
## x2.bmi.ldl 355.295
## x2.bmi.hdl 152.565
## x2.bmi.tch -35.007
## x2.bmi.ltg 111.608
## x2.bmi.glu 27.401
## x2.map.tc 198.913
## x2.map.ldl -85.745
## x2.map.hdl -64.900
## x2.map.tch -44.212
## x2.map.ltg -60.925
## x2.map.glu -146.288
## x2.tc.ldl 301.534
## x2.tc.hdl 49.704
## x2.tc.tch -355.116
## x2.tc.ltg -818.050
## x2.tc.glu -206.775
## x2.ldl.hdl -349.227
## x2.ldl.tch -281.868
## x2.ldl.ltg 672.232
## x2.ldl.glu 115.914
## x2.hdl.tch 288.949
## x2.hdl.ltg 195.955
## x2.hdl.glu 223.115
## x2.tch.ltg -102.930
## x2.tch.glu 227.397
## x2.ltg.glu 103.866
##
## , , 32 comps
##
## y
## x2.age 41.062
## x2.sex -257.843
## x2.bmi 447.779
## x2.map 338.600
## x2.tc -131.441
## x2.ldl -55.360
## x2.hdl -173.905
## x2.tch 128.145
## x2.ltg 671.784
## x2.glu 68.443
## x2.age.2 74.343
## x2.bmi.2 50.856
## x2.map.2 -7.103
## x2.tc.2 157.653
## x2.ldl.2 -155.073
## x2.hdl.2 25.947
## x2.tch.2 439.694
## x2.ltg.2 444.077
## x2.glu.2 119.555
## x2.age.sex 167.107
## x2.age.bmi -7.152
## x2.age.map 12.806
## x2.age.tc -117.969
## x2.age.ldl -112.507
## x2.age.hdl 206.357
## x2.age.tch 192.265
## x2.age.ltg 92.957
## x2.age.glu 58.340
## x2.sex.bmi 73.358
## x2.sex.map 87.433
## x2.sex.tc 479.670
## x2.sex.ldl -400.496
## x2.sex.hdl -124.645
## x2.sex.tch -103.512
## x2.sex.ltg -170.921
## x2.sex.glu 47.837
## x2.bmi.map 163.582
## x2.bmi.tc -451.066
## x2.bmi.ldl 364.424
## x2.bmi.hdl 161.788
## x2.bmi.tch -22.950
## x2.bmi.ltg 115.009
## x2.bmi.glu 26.232
## x2.map.tc 218.518
## x2.map.ldl -103.355
## x2.map.hdl -70.299
## x2.map.tch -43.915
## x2.map.ltg -62.936
## x2.map.glu -150.007
## x2.tc.ldl 298.018
## x2.tc.hdl 43.437
## x2.tc.tch -354.788
## x2.tc.ltg -820.243
## x2.tc.glu -202.449
## x2.ldl.hdl -355.484
## x2.ldl.tch -291.829
## x2.ldl.ltg 671.944
## x2.ldl.glu 106.572
## x2.hdl.tch 303.535
## x2.hdl.ltg 192.115
## x2.hdl.glu 221.036
## x2.tch.ltg -112.935
## x2.tch.glu 225.842
## x2.ltg.glu 107.106
##
## , , 33 comps
##
## y
## x2.age 42.230
## x2.sex -255.195
## x2.bmi 447.793
## x2.map 339.546
## x2.tc -131.018
## x2.ldl -49.365
## x2.hdl -179.496
## x2.tch 118.905
## x2.ltg 673.141
## x2.glu 60.542
## x2.age.2 69.282
## x2.bmi.2 55.418
## x2.map.2 -4.868
## x2.tc.2 188.940
## x2.ldl.2 -162.224
## x2.hdl.2 39.618
## x2.tch.2 461.143
## x2.ltg.2 435.613
## x2.glu.2 120.469
## x2.age.sex 165.655
## x2.age.bmi -4.942
## x2.age.map 14.892
## x2.age.tc -129.723
## x2.age.ldl -106.298
## x2.age.hdl 214.217
## x2.age.tch 195.117
## x2.age.ltg 96.822
## x2.age.glu 64.079
## x2.sex.bmi 72.901
## x2.sex.map 83.225
## x2.sex.tc 486.963
## x2.sex.ldl -402.359
## x2.sex.hdl -133.230
## x2.sex.tch -111.769
## x2.sex.ltg -174.697
## x2.sex.glu 53.556
## x2.bmi.map 158.681
## x2.bmi.tc -477.348
## x2.bmi.ldl 382.091
## x2.bmi.hdl 181.494
## x2.bmi.tch -11.891
## x2.bmi.ltg 122.232
## x2.bmi.glu 28.004
## x2.map.tc 252.717
## x2.map.ldl -134.082
## x2.map.hdl -88.443
## x2.map.tch -46.462
## x2.map.ltg -67.938
## x2.map.glu -156.302
## x2.tc.ldl 291.124
## x2.tc.hdl 25.354
## x2.tc.tch -360.834
## x2.tc.ltg -820.485
## x2.tc.glu -191.226
## x2.ldl.hdl -366.093
## x2.ldl.tch -314.789
## x2.ldl.ltg 671.082
## x2.ldl.glu 93.266
## x2.hdl.tch 326.066
## x2.hdl.ltg 179.149
## x2.hdl.glu 221.054
## x2.tch.ltg -128.802
## x2.tch.glu 232.858
## x2.ltg.glu 99.206
##
## , , 34 comps
##
## y
## x2.age 44.193
## x2.sex -257.310
## x2.bmi 449.483
## x2.map 340.431
## x2.tc -133.332
## x2.ldl -42.423
## x2.hdl -186.960
## x2.tch 111.078
## x2.ltg 664.224
## x2.glu 65.377
## x2.age.2 70.821
## x2.bmi.2 57.287
## x2.map.2 -4.650
## x2.tc.2 220.664
## x2.ldl.2 -168.744
## x2.hdl.2 55.208
## x2.tch.2 488.183
## x2.ltg.2 433.691
## x2.glu.2 121.004
## x2.age.sex 166.051
## x2.age.bmi -5.038
## x2.age.map 13.710
## x2.age.tc -142.769
## x2.age.ldl -95.432
## x2.age.hdl 220.085
## x2.age.tch 196.462
## x2.age.ltg 102.348
## x2.age.glu 63.027
## x2.sex.bmi 77.166
## x2.sex.map 84.095
## x2.sex.tc 492.070
## x2.sex.ldl -403.865
## x2.sex.hdl -137.785
## x2.sex.tch -120.419
## x2.sex.ltg -172.527
## x2.sex.glu 51.105
## x2.bmi.map 154.976
## x2.bmi.tc -506.871
## x2.bmi.ldl 400.023
## x2.bmi.hdl 199.077
## x2.bmi.tch -9.283
## x2.bmi.ltg 133.813
## x2.bmi.glu 32.528
## x2.map.tc 288.654
## x2.map.ldl -158.707
## x2.map.hdl -109.768
## x2.map.tch -55.746
## x2.map.ltg -84.949
## x2.map.glu -150.849
## x2.tc.ldl 281.455
## x2.tc.hdl 8.019
## x2.tc.tch -371.803
## x2.tc.ltg -815.386
## x2.tc.glu -177.011
## x2.ldl.hdl -375.921
## x2.ldl.tch -337.754
## x2.ldl.ltg 671.199
## x2.ldl.glu 79.271
## x2.hdl.tch 344.114
## x2.hdl.ltg 167.106
## x2.hdl.glu 228.064
## x2.tch.ltg -145.825
## x2.tch.glu 241.840
## x2.ltg.glu 89.205
##
## , , 35 comps
##
## y
## x2.age 42.280
## x2.sex -260.464
## x2.bmi 450.424
## x2.map 339.815
## x2.tc -134.727
## x2.ldl -39.085
## x2.hdl -191.563
## x2.tch 107.145
## x2.ltg 660.864
## x2.glu 67.163
## x2.age.2 73.930
## x2.bmi.2 55.095
## x2.map.2 -7.315
## x2.tc.2 240.865
## x2.ldl.2 -169.017
## x2.hdl.2 63.679
## x2.tch.2 506.722
## x2.ltg.2 435.663
## x2.glu.2 118.606
## x2.age.sex 164.561
## x2.age.bmi -3.539
## x2.age.map 12.062
## x2.age.tc -153.308
## x2.age.ldl -89.585
## x2.age.hdl 222.695
## x2.age.tch 195.076
## x2.age.ltg 108.934
## x2.age.glu 60.526
## x2.sex.bmi 76.125
## x2.sex.map 82.004
## x2.sex.tc 493.337
## x2.sex.ldl -403.537
## x2.sex.hdl -140.703
## x2.sex.tch -122.908
## x2.sex.ltg -170.972
## x2.sex.glu 51.913
## x2.bmi.map 155.736
## x2.bmi.tc -523.623
## x2.bmi.ldl 413.495
## x2.bmi.hdl 207.720
## x2.bmi.tch -9.843
## x2.bmi.ltg 146.063
## x2.bmi.glu 32.678
## x2.map.tc 313.635
## x2.map.ldl -173.120
## x2.map.hdl -123.239
## x2.map.tch -63.013
## x2.map.ltg -94.867
## x2.map.glu -146.772
## x2.tc.ldl 275.883
## x2.tc.hdl -2.817
## x2.tc.tch -378.818
## x2.tc.ltg -814.201
## x2.tc.glu -171.918
## x2.ldl.hdl -380.858
## x2.ldl.tch -349.198
## x2.ldl.ltg 665.385
## x2.ldl.glu 67.738
## x2.hdl.tch 356.945
## x2.hdl.ltg 162.957
## x2.hdl.glu 225.788
## x2.tch.ltg -162.032
## x2.tch.glu 251.088
## x2.ltg.glu 83.755
##
## , , 36 comps
##
## y
## x2.age 40.265
## x2.sex -258.980
## x2.bmi 450.140
## x2.map 340.343
## x2.tc -135.341
## x2.ldl -37.561
## x2.hdl -193.773
## x2.tch 106.626
## x2.ltg 661.845
## x2.glu 65.692
## x2.age.2 72.359
## x2.bmi.2 52.426
## x2.map.2 -6.171
## x2.tc.2 251.435
## x2.ldl.2 -171.631
## x2.hdl.2 68.664
## x2.tch.2 519.528
## x2.ltg.2 437.777
## x2.glu.2 115.252
## x2.age.sex 162.736
## x2.age.bmi -4.973
## x2.age.map 12.704
## x2.age.tc -159.435
## x2.age.ldl -81.706
## x2.age.hdl 225.713
## x2.age.tch 192.034
## x2.age.ltg 114.041
## x2.age.glu 61.640
## x2.sex.bmi 73.881
## x2.sex.map 84.780
## x2.sex.tc 491.924
## x2.sex.ldl -402.207
## x2.sex.hdl -140.213
## x2.sex.tch -123.494
## x2.sex.ltg -168.010
## x2.sex.glu 51.751
## x2.bmi.map 156.987
## x2.bmi.tc -535.142
## x2.bmi.ldl 426.627
## x2.bmi.hdl 207.337
## x2.bmi.tch -11.842
## x2.bmi.ltg 154.200
## x2.bmi.glu 26.719
## x2.map.tc 327.279
## x2.map.ldl -185.107
## x2.map.hdl -134.559
## x2.map.tch -68.487
## x2.map.ltg -101.258
## x2.map.glu -143.838
## x2.tc.ldl 268.548
## x2.tc.hdl -9.880
## x2.tc.tch -384.560
## x2.tc.ltg -811.802
## x2.tc.glu -165.000
## x2.ldl.hdl -383.197
## x2.ldl.tch -354.877
## x2.ldl.ltg 664.496
## x2.ldl.glu 64.110
## x2.hdl.tch 367.039
## x2.hdl.ltg 161.828
## x2.hdl.glu 225.533
## x2.tch.ltg -173.834
## x2.tch.glu 257.041
## x2.ltg.glu 80.436
##
## , , 37 comps
##
## y
## x2.age 42.131
## x2.sex -259.895
## x2.bmi 448.597
## x2.map 341.817
## x2.tc -136.052
## x2.ldl -36.387
## x2.hdl -192.811
## x2.tch 106.959
## x2.ltg 663.185
## x2.glu 62.821
## x2.age.2 68.356
## x2.bmi.2 52.026
## x2.map.2 -6.082
## x2.tc.2 261.045
## x2.ldl.2 -172.571
## x2.hdl.2 71.552
## x2.tch.2 534.260
## x2.ltg.2 437.368
## x2.glu.2 114.943
## x2.age.sex 163.699
## x2.age.bmi -6.397
## x2.age.map 12.086
## x2.age.tc -168.691
## x2.age.ldl -71.625
## x2.age.hdl 226.531
## x2.age.tch 189.245
## x2.age.ltg 116.289
## x2.age.glu 68.097
## x2.sex.bmi 72.061
## x2.sex.map 85.756
## x2.sex.tc 486.605
## x2.sex.ldl -398.863
## x2.sex.hdl -138.730
## x2.sex.tch -121.222
## x2.sex.ltg -164.984
## x2.sex.glu 49.570
## x2.bmi.map 157.481
## x2.bmi.tc -546.329
## x2.bmi.ldl 441.754
## x2.bmi.hdl 205.163
## x2.bmi.tch -19.199
## x2.bmi.ltg 163.212
## x2.bmi.glu 24.403
## x2.map.tc 343.337
## x2.map.ldl -195.247
## x2.map.hdl -140.694
## x2.map.tch -72.905
## x2.map.ltg -108.989
## x2.map.glu -141.984
## x2.tc.ldl 261.908
## x2.tc.hdl -15.824
## x2.tc.tch -389.119
## x2.tc.ltg -812.977
## x2.tc.glu -161.003
## x2.ldl.hdl -379.558
## x2.ldl.tch -356.594
## x2.ldl.ltg 666.936
## x2.ldl.glu 56.843
## x2.hdl.tch 379.062
## x2.hdl.ltg 155.037
## x2.hdl.glu 225.292
## x2.tch.ltg -182.453
## x2.tch.glu 259.129
## x2.ltg.glu 79.632
##
## , , 38 comps
##
## y
## x2.age 42.793
## x2.sex -257.237
## x2.bmi 446.784
## x2.map 340.378
## x2.tc -139.550
## x2.ldl -35.188
## x2.hdl -187.795
## x2.tch 109.655
## x2.ltg 662.774
## x2.glu 65.871
## x2.age.2 70.113
## x2.bmi.2 56.312
## x2.map.2 -7.357
## x2.tc.2 276.023
## x2.ldl.2 -174.831
## x2.hdl.2 79.252
## x2.tch.2 566.288
## x2.ltg.2 434.616
## x2.glu.2 116.671
## x2.age.sex 163.201
## x2.age.bmi -5.836
## x2.age.map 12.182
## x2.age.tc -188.733
## x2.age.ldl -53.780
## x2.age.hdl 233.718
## x2.age.tch 185.504
## x2.age.ltg 125.460
## x2.age.glu 67.980
## x2.sex.bmi 72.008
## x2.sex.map 86.826
## x2.sex.tc 473.252
## x2.sex.ldl -386.719
## x2.sex.hdl -129.979
## x2.sex.tch -116.319
## x2.sex.ltg -163.460
## x2.sex.glu 51.011
## x2.bmi.map 156.626
## x2.bmi.tc -569.651
## x2.bmi.ldl 474.215
## x2.bmi.hdl 201.375
## x2.bmi.tch -40.771
## x2.bmi.ltg 171.440
## x2.bmi.glu 24.868
## x2.map.tc 372.308
## x2.map.ldl -222.030
## x2.map.hdl -151.126
## x2.map.tch -72.949
## x2.map.ltg -113.756
## x2.map.glu -145.280
## x2.tc.ldl 245.491
## x2.tc.hdl -24.721
## x2.tc.tch -398.957
## x2.tc.ltg -815.372
## x2.tc.glu -152.612
## x2.ldl.hdl -370.241
## x2.ldl.tch -355.272
## x2.ldl.ltg 675.514
## x2.ldl.glu 44.221
## x2.hdl.tch 401.388
## x2.hdl.ltg 146.961
## x2.hdl.glu 224.098
## x2.tch.ltg -197.992
## x2.tch.glu 262.177
## x2.ltg.glu 80.148
##
## , , 39 comps
##
## y
## x2.age 41.252
## x2.sex -259.242
## x2.bmi 445.676
## x2.map 342.056
## x2.tc -141.115
## x2.ldl -34.954
## x2.hdl -186.127
## x2.tch 112.042
## x2.ltg 662.861
## x2.glu 67.058
## x2.age.2 69.288
## x2.bmi.2 53.538
## x2.map.2 -5.534
## x2.tc.2 280.005
## x2.ldl.2 -173.129
## x2.hdl.2 81.780
## x2.tch.2 576.106
## x2.ltg.2 434.531
## x2.glu.2 114.798
## x2.age.sex 165.380
## x2.age.bmi -6.998
## x2.age.map 12.330
## x2.age.tc -195.358
## x2.age.ldl -46.088
## x2.age.hdl 238.061
## x2.age.tch 187.244
## x2.age.ltg 127.190
## x2.age.glu 65.453
## x2.sex.bmi 74.561
## x2.sex.map 85.328
## x2.sex.tc 466.173
## x2.sex.ldl -382.595
## x2.sex.hdl -127.298
## x2.sex.tch -114.784
## x2.sex.ltg -162.710
## x2.sex.glu 51.735
## x2.bmi.map 155.288
## x2.bmi.tc -576.522
## x2.bmi.ldl 485.239
## x2.bmi.hdl 200.244
## x2.bmi.tch -46.251
## x2.bmi.ltg 175.600
## x2.bmi.glu 26.467
## x2.map.tc 381.843
## x2.map.ldl -233.078
## x2.map.hdl -153.229
## x2.map.tch -69.358
## x2.map.ltg -116.382
## x2.map.glu -146.280
## x2.tc.ldl 239.672
## x2.tc.hdl -29.333
## x2.tc.tch -403.393
## x2.tc.ltg -818.434
## x2.tc.glu -147.487
## x2.ldl.hdl -366.282
## x2.ldl.tch -355.395
## x2.ldl.ltg 676.049
## x2.ldl.glu 41.557
## x2.hdl.tch 410.113
## x2.hdl.ltg 144.516
## x2.hdl.glu 224.048
## x2.tch.ltg -201.546
## x2.tch.glu 262.828
## x2.ltg.glu 79.465
##
## , , 40 comps
##
## y
## x2.age 40.150
## x2.sex -258.598
## x2.bmi 447.731
## x2.map 344.120
## x2.tc -143.311
## x2.ldl -34.296
## x2.hdl -183.045
## x2.tch 115.902
## x2.ltg 661.408
## x2.glu 65.785
## x2.age.2 70.766
## x2.bmi.2 50.718
## x2.map.2 -6.247
## x2.tc.2 284.244
## x2.ldl.2 -168.076
## x2.hdl.2 86.382
## x2.tch.2 583.506
## x2.ltg.2 435.934
## x2.glu.2 113.910
## x2.age.sex 167.226
## x2.age.bmi -8.344
## x2.age.map 13.058
## x2.age.tc -205.325
## x2.age.ldl -38.568
## x2.age.hdl 245.597
## x2.age.tch 190.278
## x2.age.ltg 129.102
## x2.age.glu 66.128
## x2.sex.bmi 73.654
## x2.sex.map 83.066
## x2.sex.tc 457.087
## x2.sex.ldl -376.008
## x2.sex.hdl -124.745
## x2.sex.tch -113.096
## x2.sex.ltg -159.455
## x2.sex.glu 50.945
## x2.bmi.map 153.705
## x2.bmi.tc -586.657
## x2.bmi.ldl 494.164
## x2.bmi.hdl 197.713
## x2.bmi.tch -51.638
## x2.bmi.ltg 182.214
## x2.bmi.glu 30.003
## x2.map.tc 391.886
## x2.map.ldl -246.330
## x2.map.hdl -155.381
## x2.map.tch -60.403
## x2.map.ltg -122.487
## x2.map.glu -146.008
## x2.tc.ldl 233.024
## x2.tc.hdl -37.140
## x2.tc.tch -411.109
## x2.tc.ltg -819.439
## x2.tc.glu -142.527
## x2.ldl.hdl -364.799
## x2.ldl.tch -355.557
## x2.ldl.ltg 680.392
## x2.ldl.glu 37.233
## x2.hdl.tch 421.077
## x2.hdl.ltg 146.457
## x2.hdl.glu 221.965
## x2.tch.ltg -204.555
## x2.tch.glu 261.088
## x2.ltg.glu 78.607
##
## , , 41 comps
##
## y
## x2.age 41.470
## x2.sex -259.354
## x2.bmi 448.475
## x2.map 341.256
## x2.tc -147.459
## x2.ldl -34.791
## x2.hdl -179.376
## x2.tch 122.662
## x2.ltg 661.686
## x2.glu 67.571
## x2.age.2 69.278
## x2.bmi.2 47.909
## x2.map.2 -3.631
## x2.tc.2 290.009
## x2.ldl.2 -158.276
## x2.hdl.2 95.838
## x2.tch.2 592.273
## x2.ltg.2 438.490
## x2.glu.2 115.635
## x2.age.sex 165.285
## x2.age.bmi -6.239
## x2.age.map 14.024
## x2.age.tc -220.885
## x2.age.ldl -29.026
## x2.age.hdl 252.968
## x2.age.tch 197.158
## x2.age.ltg 131.927
## x2.age.glu 66.294
## x2.sex.bmi 70.584
## x2.sex.map 83.525
## x2.sex.tc 445.355
## x2.sex.ldl -366.548
## x2.sex.hdl -118.636
## x2.sex.tch -113.941
## x2.sex.ltg -149.927
## x2.sex.glu 52.301
## x2.bmi.map 155.343
## x2.bmi.tc -597.589
## x2.bmi.ldl 505.907
## x2.bmi.hdl 197.830
## x2.bmi.tch -56.591
## x2.bmi.ltg 189.391
## x2.bmi.glu 28.878
## x2.map.tc 407.068
## x2.map.ldl -263.856
## x2.map.hdl -153.531
## x2.map.tch -48.967
## x2.map.ltg -133.144
## x2.map.glu -147.307
## x2.tc.ldl 224.585
## x2.tc.hdl -46.888
## x2.tc.tch -424.430
## x2.tc.ltg -822.007
## x2.tc.glu -135.848
## x2.ldl.hdl -361.516
## x2.ldl.tch -356.714
## x2.ldl.ltg 686.462
## x2.ldl.glu 31.673
## x2.hdl.tch 434.099
## x2.hdl.ltg 149.422
## x2.hdl.glu 218.027
## x2.tch.ltg -205.264
## x2.tch.glu 258.500
## x2.ltg.glu 74.558
##
## , , 42 comps
##
## y
## x2.age 41.596
## x2.sex -259.799
## x2.bmi 447.911
## x2.map 343.957
## x2.tc -149.593
## x2.ldl -34.342
## x2.hdl -175.197
## x2.tch 126.490
## x2.ltg 660.993
## x2.glu 65.965
## x2.age.2 69.891
## x2.bmi.2 50.740
## x2.map.2 -4.900
## x2.tc.2 292.120
## x2.ldl.2 -149.840
## x2.hdl.2 101.821
## x2.tch.2 598.468
## x2.ltg.2 443.277
## x2.glu.2 119.574
## x2.age.sex 163.782
## x2.age.bmi -7.575
## x2.age.map 15.981
## x2.age.tc -231.123
## x2.age.ldl -21.493
## x2.age.hdl 256.797
## x2.age.tch 200.771
## x2.age.ltg 133.263
## x2.age.glu 65.410
## x2.sex.bmi 72.094
## x2.sex.map 86.832
## x2.sex.tc 435.862
## x2.sex.ldl -357.893
## x2.sex.hdl -116.665
## x2.sex.tch -115.694
## x2.sex.ltg -146.407
## x2.sex.glu 50.094
## x2.bmi.map 156.730
## x2.bmi.tc -602.818
## x2.bmi.ldl 512.276
## x2.bmi.hdl 202.881
## x2.bmi.tch -56.936
## x2.bmi.ltg 192.489
## x2.bmi.glu 24.289
## x2.map.tc 416.775
## x2.map.ldl -275.012
## x2.map.hdl -153.750
## x2.map.tch -44.404
## x2.map.ltg -138.830
## x2.map.glu -147.648
## x2.tc.ldl 218.373
## x2.tc.hdl -54.131
## x2.tc.tch -434.029
## x2.tc.ltg -825.865
## x2.tc.glu -131.208
## x2.ldl.hdl -358.240
## x2.ldl.tch -355.559
## x2.ldl.ltg 689.153
## x2.ldl.glu 27.812
## x2.hdl.tch 442.595
## x2.hdl.ltg 152.964
## x2.hdl.glu 214.024
## x2.tch.ltg -204.450
## x2.tch.glu 256.992
## x2.ltg.glu 72.400
##
## , , 43 comps
##
## y
## x2.age 39.668
## x2.sex -259.468
## x2.bmi 447.015
## x2.map 344.884
## x2.tc -154.122
## x2.ldl -33.340
## x2.hdl -169.028
## x2.tch 131.839
## x2.ltg 663.186
## x2.glu 66.241
## x2.age.2 67.645
## x2.bmi.2 51.991
## x2.map.2 -4.009
## x2.tc.2 292.378
## x2.ldl.2 -136.479
## x2.hdl.2 112.026
## x2.tch.2 608.678
## x2.ltg.2 447.875
## x2.glu.2 122.694
## x2.age.sex 167.065
## x2.age.bmi -6.947
## x2.age.map 16.637
## x2.age.tc -245.180
## x2.age.ldl -10.072
## x2.age.hdl 262.466
## x2.age.tch 199.568
## x2.age.ltg 142.330
## x2.age.glu 62.679
## x2.sex.bmi 69.608
## x2.sex.map 85.582
## x2.sex.tc 421.069
## x2.sex.ldl -342.224
## x2.sex.hdl -114.080
## x2.sex.tch -119.005
## x2.sex.ltg -137.815
## x2.sex.glu 47.101
## x2.bmi.map 156.325
## x2.bmi.tc -610.614
## x2.bmi.ldl 516.856
## x2.bmi.hdl 213.117
## x2.bmi.tch -48.324
## x2.bmi.ltg 193.592
## x2.bmi.glu 22.985
## x2.map.tc 431.987
## x2.map.ldl -288.215
## x2.map.hdl -162.701
## x2.map.tch -45.040
## x2.map.ltg -146.449
## x2.map.glu -146.133
## x2.tc.ldl 206.988
## x2.tc.hdl -63.902
## x2.tc.tch -449.940
## x2.tc.ltg -836.100
## x2.tc.glu -123.148
## x2.ldl.hdl -348.869
## x2.ldl.tch -348.769
## x2.ldl.ltg 699.880
## x2.ldl.glu 20.325
## x2.hdl.tch 457.406
## x2.hdl.ltg 160.077
## x2.hdl.glu 207.809
## x2.tch.ltg -199.618
## x2.tch.glu 252.571
## x2.ltg.glu 70.141
##
## , , 44 comps
##
## y
## x2.age 42.823
## x2.sex -260.541
## x2.bmi 447.603
## x2.map 342.357
## x2.tc -161.002
## x2.ldl -31.837
## x2.hdl -159.561
## x2.tch 139.407
## x2.ltg 667.697
## x2.glu 67.185
## x2.age.2 70.661
## x2.bmi.2 52.693
## x2.map.2 -3.684
## x2.tc.2 291.327
## x2.ldl.2 -115.394
## x2.hdl.2 128.174
## x2.tch.2 622.221
## x2.ltg.2 458.901
## x2.glu.2 120.882
## x2.age.sex 168.061
## x2.age.bmi -6.635
## x2.age.map 13.342
## x2.age.tc -267.123
## x2.age.ldl 9.451
## x2.age.hdl 269.070
## x2.age.tch 196.604
## x2.age.ltg 150.983
## x2.age.glu 63.669
## x2.sex.bmi 69.632
## x2.sex.map 85.139
## x2.sex.tc 396.089
## x2.sex.ldl -318.405
## x2.sex.hdl -110.421
## x2.sex.tch -124.053
## x2.sex.ltg -129.863
## x2.sex.glu 50.948
## x2.bmi.map 156.050
## x2.bmi.tc -625.101
## x2.bmi.ldl 519.928
## x2.bmi.hdl 226.267
## x2.bmi.tch -33.535
## x2.bmi.ltg 195.087
## x2.bmi.glu 22.014
## x2.map.tc 458.612
## x2.map.ldl -306.994
## x2.map.hdl -175.195
## x2.map.tch -50.281
## x2.map.ltg -154.546
## x2.map.glu -144.396
## x2.tc.ldl 188.069
## x2.tc.hdl -81.084
## x2.tc.tch -474.156
## x2.tc.ltg -851.955
## x2.tc.glu -107.136
## x2.ldl.hdl -335.169
## x2.ldl.tch -336.292
## x2.ldl.ltg 717.014
## x2.ldl.glu 11.246
## x2.hdl.tch 481.901
## x2.hdl.ltg 170.958
## x2.hdl.glu 200.309
## x2.tch.ltg -191.473
## x2.tch.glu 244.896
## x2.ltg.glu 64.773
##
## , , 45 comps
##
## y
## x2.age 40.716
## x2.sex -260.011
## x2.bmi 449.255
## x2.map 344.075
## x2.tc -164.898
## x2.ldl -30.610
## x2.hdl -155.269
## x2.tch 141.802
## x2.ltg 669.522
## x2.glu 66.936
## x2.age.2 69.898
## x2.bmi.2 49.945
## x2.map.2 -3.770
## x2.tc.2 291.339
## x2.ldl.2 -104.071
## x2.hdl.2 139.848
## x2.tch.2 626.765
## x2.ltg.2 465.062
## x2.glu.2 118.738
## x2.age.sex 163.770
## x2.age.bmi -7.352
## x2.age.map 15.290
## x2.age.tc -277.859
## x2.age.ldl 18.857
## x2.age.hdl 268.135
## x2.age.tch 197.539
## x2.age.ltg 151.937
## x2.age.glu 63.896
## x2.sex.bmi 69.274
## x2.sex.map 87.974
## x2.sex.tc 385.759
## x2.sex.ldl -308.834
## x2.sex.hdl -106.078
## x2.sex.tch -124.205
## x2.sex.ltg -124.456
## x2.sex.glu 50.531
## x2.bmi.map 155.173
## x2.bmi.tc -630.766
## x2.bmi.ldl 521.350
## x2.bmi.hdl 232.014
## x2.bmi.tch -28.383
## x2.bmi.ltg 193.332
## x2.bmi.glu 27.610
## x2.map.tc 473.160
## x2.map.ldl -316.280
## x2.map.hdl -182.076
## x2.map.tch -56.214
## x2.map.ltg -156.853
## x2.map.glu -146.910
## x2.tc.ldl 177.893
## x2.tc.hdl -89.592
## x2.tc.tch -486.449
## x2.tc.ltg -860.315
## x2.tc.glu -98.568
## x2.ldl.hdl -328.210
## x2.ldl.tch -328.949
## x2.ldl.ltg 726.295
## x2.ldl.glu 4.209
## x2.hdl.tch 494.764
## x2.hdl.ltg 177.420
## x2.hdl.glu 195.292
## x2.tch.ltg -186.823
## x2.tch.glu 242.880
## x2.ltg.glu 61.675
##
## , , 46 comps
##
## y
## x2.age 42.293
## x2.sex -260.766
## x2.bmi 448.186
## x2.map 344.278
## x2.tc -168.545
## x2.ldl -28.328
## x2.hdl -153.155
## x2.tch 143.063
## x2.ltg 670.066
## x2.glu 67.415
## x2.age.2 70.575
## x2.bmi.2 49.223
## x2.map.2 -5.421
## x2.tc.2 291.575
## x2.ldl.2 -94.638
## x2.hdl.2 150.866
## x2.tch.2 630.442
## x2.ltg.2 469.393
## x2.glu.2 118.362
## x2.age.sex 163.689
## x2.age.bmi -9.517
## x2.age.map 16.991
## x2.age.tc -284.370
## x2.age.ldl 25.025
## x2.age.hdl 270.302
## x2.age.tch 198.782
## x2.age.ltg 149.932
## x2.age.glu 65.231
## x2.sex.bmi 68.855
## x2.sex.map 86.915
## x2.sex.tc 378.703
## x2.sex.ldl -305.249
## x2.sex.hdl -98.746
## x2.sex.tch -120.042
## x2.sex.ltg -118.735
## x2.sex.glu 48.652
## x2.bmi.map 158.404
## x2.bmi.tc -633.625
## x2.bmi.ldl 521.288
## x2.bmi.hdl 235.896
## x2.bmi.tch -24.036
## x2.bmi.ltg 192.026
## x2.bmi.glu 29.564
## x2.map.tc 485.098
## x2.map.ldl -325.805
## x2.map.hdl -189.601
## x2.map.tch -60.643
## x2.map.ltg -157.016
## x2.map.glu -149.497
## x2.tc.ldl 168.176
## x2.tc.hdl -97.347
## x2.tc.tch -495.832
## x2.tc.ltg -868.052
## x2.tc.glu -89.824
## x2.ldl.hdl -321.532
## x2.ldl.tch -321.668
## x2.ldl.ltg 733.810
## x2.ldl.glu -4.081
## x2.hdl.tch 505.968
## x2.hdl.ltg 185.190
## x2.hdl.glu 192.126
## x2.tch.ltg -181.555
## x2.tch.glu 244.401
## x2.ltg.glu 57.629
##
## , , 47 comps
##
## y
## x2.age 40.342
## x2.sex -261.003
## x2.bmi 446.882
## x2.map 345.881
## x2.tc -172.759
## x2.ldl -23.843
## x2.hdl -151.248
## x2.tch 142.822
## x2.ltg 672.526
## x2.glu 68.645
## x2.age.2 68.319
## x2.bmi.2 50.287
## x2.map.2 -7.957
## x2.tc.2 292.640
## x2.ldl.2 -82.593
## x2.hdl.2 167.545
## x2.tch.2 632.412
## x2.ltg.2 474.354
## x2.glu.2 120.345
## x2.age.sex 163.131
## x2.age.bmi -9.323
## x2.age.map 18.689
## x2.age.tc -290.608
## x2.age.ldl 28.777
## x2.age.hdl 272.860
## x2.age.tch 202.442
## x2.age.ltg 150.833
## x2.age.glu 64.323
## x2.sex.bmi 68.804
## x2.sex.map 87.670
## x2.sex.tc 368.500
## x2.sex.ldl -302.411
## x2.sex.hdl -89.639
## x2.sex.tch -109.268
## x2.sex.ltg -119.466
## x2.sex.glu 51.316
## x2.bmi.map 158.262
## x2.bmi.tc -636.153
## x2.bmi.ldl 519.697
## x2.bmi.hdl 238.055
## x2.bmi.tch -19.857
## x2.bmi.ltg 191.594
## x2.bmi.glu 28.220
## x2.map.tc 502.080
## x2.map.ldl -336.776
## x2.map.hdl -197.985
## x2.map.tch -65.866
## x2.map.ltg -162.608
## x2.map.glu -148.129
## x2.tc.ldl 153.616
## x2.tc.hdl -109.702
## x2.tc.tch -507.849
## x2.tc.ltg -878.504
## x2.tc.glu -76.486
## x2.ldl.hdl -312.075
## x2.ldl.tch -310.608
## x2.ldl.ltg 746.140
## x2.ldl.glu -18.334
## x2.hdl.tch 522.190
## x2.hdl.ltg 194.793
## x2.hdl.glu 189.824
## x2.tch.ltg -172.685
## x2.tch.glu 246.491
## x2.ltg.glu 50.840
##
## , , 48 comps
##
## y
## x2.age 42.529
## x2.sex -260.328
## x2.bmi 447.700
## x2.map 344.790
## x2.tc -175.947
## x2.ldl -20.389
## x2.hdl -150.620
## x2.tch 141.746
## x2.ltg 675.281
## x2.glu 66.587
## x2.age.2 70.396
## x2.bmi.2 50.482
## x2.map.2 -5.832
## x2.tc.2 294.108
## x2.ldl.2 -73.590
## x2.hdl.2 179.935
## x2.tch.2 631.906
## x2.ltg.2 478.039
## x2.glu.2 120.989
## x2.age.sex 163.169
## x2.age.bmi -8.782
## x2.age.map 17.978
## x2.age.tc -294.042
## x2.age.ldl 29.149
## x2.age.hdl 274.876
## x2.age.tch 204.899
## x2.age.ltg 153.098
## x2.age.glu 61.984
## x2.sex.bmi 68.490
## x2.sex.map 90.272
## x2.sex.tc 362.044
## x2.sex.ldl -299.931
## x2.sex.hdl -84.545
## x2.sex.tch -100.787
## x2.sex.ltg -120.431
## x2.sex.glu 48.847
## x2.bmi.map 157.070
## x2.bmi.tc -635.789
## x2.bmi.ldl 519.992
## x2.bmi.hdl 239.903
## x2.bmi.tch -18.685
## x2.bmi.ltg 191.067
## x2.bmi.glu 27.947
## x2.map.tc 513.512
## x2.map.ldl -345.767
## x2.map.hdl -204.083
## x2.map.tch -69.758
## x2.map.ltg -166.956
## x2.map.glu -146.685
## x2.tc.ldl 142.824
## x2.tc.hdl -119.956
## x2.tc.tch -517.172
## x2.tc.ltg -887.801
## x2.tc.glu -65.891
## x2.ldl.hdl -304.321
## x2.ldl.tch -302.303
## x2.ldl.ltg 754.699
## x2.ldl.glu -27.854
## x2.hdl.tch 534.261
## x2.hdl.ltg 199.347
## x2.hdl.glu 186.267
## x2.tch.ltg -166.302
## x2.tch.glu 248.431
## x2.ltg.glu 45.628
##
## , , 49 comps
##
## y
## x2.age 41.634
## x2.sex -259.114
## x2.bmi 448.057
## x2.map 343.610
## x2.tc -177.125
## x2.ldl -18.652
## x2.hdl -150.732
## x2.tch 140.798
## x2.ltg 676.371
## x2.glu 67.152
## x2.age.2 69.282
## x2.bmi.2 51.003
## x2.map.2 -6.128
## x2.tc.2 296.238
## x2.ldl.2 -70.377
## x2.hdl.2 183.906
## x2.tch.2 631.469
## x2.ltg.2 480.856
## x2.glu.2 120.904
## x2.age.sex 164.122
## x2.age.bmi -8.528
## x2.age.map 16.893
## x2.age.tc -293.455
## x2.age.ldl 27.742
## x2.age.hdl 276.020
## x2.age.tch 205.827
## x2.age.ltg 154.118
## x2.age.glu 62.861
## x2.sex.bmi 70.631
## x2.sex.map 90.095
## x2.sex.tc 360.226
## x2.sex.ldl -299.270
## x2.sex.hdl -83.838
## x2.sex.tch -100.109
## x2.sex.ltg -120.283
## x2.sex.glu 46.957
## x2.bmi.map 157.586
## x2.bmi.tc -636.023
## x2.bmi.ldl 520.287
## x2.bmi.hdl 239.131
## x2.bmi.tch -19.538
## x2.bmi.ltg 189.371
## x2.bmi.glu 27.796
## x2.map.tc 518.372
## x2.map.ldl -348.702
## x2.map.hdl -205.356
## x2.map.tch -71.019
## x2.map.ltg -167.871
## x2.map.glu -146.265
## x2.tc.ldl 138.196
## x2.tc.hdl -125.326
## x2.tc.tch -521.685
## x2.tc.ltg -891.413
## x2.tc.glu -61.901
## x2.ldl.hdl -300.615
## x2.ldl.tch -298.317
## x2.ldl.ltg 757.651
## x2.ldl.glu -30.487
## x2.hdl.tch 537.638
## x2.hdl.ltg 200.968
## x2.hdl.glu 183.172
## x2.tch.ltg -164.911
## x2.tch.glu 247.847
## x2.ltg.glu 42.717
##
## , , 50 comps
##
## y
## x2.age 41.881
## x2.sex -260.019
## x2.bmi 449.095
## x2.map 344.147
## x2.tc -181.763
## x2.ldl -11.724
## x2.hdl -152.394
## x2.tch 136.828
## x2.ltg 675.441
## x2.glu 68.919
## x2.age.2 67.232
## x2.bmi.2 51.084
## x2.map.2 -6.218
## x2.tc.2 305.660
## x2.ldl.2 -64.314
## x2.hdl.2 191.870
## x2.tch.2 635.245
## x2.ltg.2 488.363
## x2.glu.2 119.992
## x2.age.sex 165.927
## x2.age.bmi -6.774
## x2.age.map 17.152
## x2.age.tc -288.390
## x2.age.ldl 22.066
## x2.age.hdl 278.573
## x2.age.tch 207.980
## x2.age.ltg 151.902
## x2.age.glu 64.780
## x2.sex.bmi 68.701
## x2.sex.map 92.466
## x2.sex.tc 357.749
## x2.sex.ldl -295.709
## x2.sex.hdl -85.602
## x2.sex.tch -101.483
## x2.sex.ltg -120.967
## x2.sex.glu 47.212
## x2.bmi.map 158.342
## x2.bmi.tc -633.194
## x2.bmi.ldl 520.732
## x2.bmi.hdl 237.563
## x2.bmi.tch -22.571
## x2.bmi.ltg 188.702
## x2.bmi.glu 27.748
## x2.map.tc 528.642
## x2.map.ldl -358.086
## x2.map.hdl -210.502
## x2.map.tch -72.482
## x2.map.ltg -170.532
## x2.map.glu -146.444
## x2.tc.ldl 122.956
## x2.tc.hdl -141.492
## x2.tc.tch -537.264
## x2.tc.ltg -902.269
## x2.tc.glu -50.025
## x2.ldl.hdl -284.752
## x2.ldl.tch -285.361
## x2.ldl.ltg 767.621
## x2.ldl.glu -38.059
## x2.hdl.tch 541.978
## x2.hdl.ltg 207.654
## x2.hdl.glu 174.412
## x2.tch.ltg -161.593
## x2.tch.glu 243.201
## x2.ltg.glu 35.656
##
## , , 51 comps
##
## y
## x2.age 42.448
## x2.sex -260.867
## x2.bmi 446.177
## x2.map 345.554
## x2.tc -192.259
## x2.ldl 1.281
## x2.hdl -155.279
## x2.tch 127.398
## x2.ltg 681.223
## x2.glu 67.294
## x2.age.2 69.429
## x2.bmi.2 51.282
## x2.map.2 -4.951
## x2.tc.2 329.912
## x2.ldl.2 -52.712
## x2.hdl.2 206.552
## x2.tch.2 646.396
## x2.ltg.2 500.579
## x2.glu.2 121.058
## x2.age.sex 163.905
## x2.age.bmi -7.385
## x2.age.map 16.589
## x2.age.tc -277.231
## x2.age.ldl 8.518
## x2.age.hdl 276.931
## x2.age.tch 214.294
## x2.age.ltg 146.233
## x2.age.glu 63.862
## x2.sex.bmi 69.765
## x2.sex.map 91.736
## x2.sex.tc 354.981
## x2.sex.ldl -289.580
## x2.sex.hdl -87.763
## x2.sex.tch -108.393
## x2.sex.ltg -117.489
## x2.sex.glu 47.197
## x2.bmi.map 157.145
## x2.bmi.tc -629.822
## x2.bmi.ldl 519.493
## x2.bmi.hdl 228.476
## x2.bmi.tch -26.040
## x2.bmi.ltg 186.282
## x2.bmi.glu 26.698
## x2.map.tc 551.687
## x2.map.ldl -376.950
## x2.map.hdl -220.065
## x2.map.tch -73.515
## x2.map.ltg -179.995
## x2.map.glu -145.659
## x2.tc.ldl 87.511
## x2.tc.hdl -180.092
## x2.tc.tch -572.459
## x2.tc.ltg -926.400
## x2.tc.glu -21.884
## x2.ldl.hdl -247.836
## x2.ldl.tch -255.366
## x2.ldl.ltg 789.438
## x2.ldl.glu -58.133
## x2.hdl.tch 549.623
## x2.hdl.ltg 227.126
## x2.hdl.glu 158.315
## x2.tch.ltg -155.475
## x2.tch.glu 231.685
## x2.ltg.glu 26.064
##
## , , 52 comps
##
## y
## x2.age 42.340
## x2.sex -260.184
## x2.bmi 445.366
## x2.map 344.804
## x2.tc -194.449
## x2.ldl 4.596
## x2.hdl -153.969
## x2.tch 124.406
## x2.ltg 684.572
## x2.glu 67.819
## x2.age.2 69.819
## x2.bmi.2 52.326
## x2.map.2 -4.712
## x2.tc.2 337.889
## x2.ldl.2 -49.629
## x2.hdl.2 210.945
## x2.tch.2 648.287
## x2.ltg.2 504.682
## x2.glu.2 120.984
## x2.age.sex 165.105
## x2.age.bmi -6.728
## x2.age.map 17.752
## x2.age.tc -273.416
## x2.age.ldl 6.066
## x2.age.hdl 275.715
## x2.age.tch 214.385
## x2.age.ltg 143.521
## x2.age.glu 61.936
## x2.sex.bmi 68.865
## x2.sex.map 91.971
## x2.sex.tc 353.069
## x2.sex.ldl -289.102
## x2.sex.hdl -90.135
## x2.sex.tch -110.288
## x2.sex.ltg -116.180
## x2.sex.glu 47.260
## x2.bmi.map 158.512
## x2.bmi.tc -629.285
## x2.bmi.ldl 518.413
## x2.bmi.hdl 227.340
## x2.bmi.tch -28.331
## x2.bmi.ltg 186.109
## x2.bmi.glu 27.066
## x2.map.tc 557.799
## x2.map.ldl -381.386
## x2.map.hdl -222.309
## x2.map.tch -73.216
## x2.map.ltg -183.968
## x2.map.glu -147.463
## x2.tc.ldl 76.176
## x2.tc.hdl -193.229
## x2.tc.tch -582.512
## x2.tc.ltg -933.396
## x2.tc.glu -12.924
## x2.ldl.hdl -238.436
## x2.ldl.tch -245.858
## x2.ldl.ltg 795.012
## x2.ldl.glu -63.850
## x2.hdl.tch 552.109
## x2.hdl.ltg 232.381
## x2.hdl.glu 155.020
## x2.tch.ltg -153.844
## x2.tch.glu 229.368
## x2.ltg.glu 25.255
##
## , , 53 comps
##
## y
## x2.age 42.216
## x2.sex -259.832
## x2.bmi 447.884
## x2.map 344.363
## x2.tc -206.317
## x2.ldl 14.460
## x2.hdl -148.748
## x2.tch 124.594
## x2.ltg 687.001
## x2.glu 68.602
## x2.age.2 68.446
## x2.bmi.2 52.472
## x2.map.2 -4.754
## x2.tc.2 376.699
## x2.ldl.2 -44.463
## x2.hdl.2 231.495
## x2.tch.2 646.662
## x2.ltg.2 514.979
## x2.glu.2 115.033
## x2.age.sex 164.958
## x2.age.bmi -7.632
## x2.age.map 19.063
## x2.age.tc -261.642
## x2.age.ldl 3.626
## x2.age.hdl 264.375
## x2.age.tch 200.877
## x2.age.ltg 141.794
## x2.age.glu 63.830
## x2.sex.bmi 71.888
## x2.sex.map 90.786
## x2.sex.tc 352.666
## x2.sex.ldl -286.549
## x2.sex.hdl -89.170
## x2.sex.tch -114.033
## x2.sex.ltg -115.701
## x2.sex.glu 47.603
## x2.bmi.map 159.873
## x2.bmi.tc -629.496
## x2.bmi.ldl 519.420
## x2.bmi.hdl 232.519
## x2.bmi.tch -28.021
## x2.bmi.ltg 185.569
## x2.bmi.glu 26.300
## x2.map.tc 565.444
## x2.map.ldl -394.950
## x2.map.hdl -219.965
## x2.map.tch -60.969
## x2.map.ltg -191.735
## x2.map.glu -146.011
## x2.tc.ldl 35.119
## x2.tc.hdl -231.938
## x2.tc.tch -616.732
## x2.tc.ltg -958.289
## x2.tc.glu 2.823
## x2.ldl.hdl -208.206
## x2.ldl.tch -210.718
## x2.ldl.ltg 812.192
## x2.ldl.glu -80.931
## x2.hdl.tch 558.307
## x2.hdl.ltg 246.019
## x2.hdl.glu 151.060
## x2.tch.ltg -149.169
## x2.tch.glu 235.148
## x2.ltg.glu 23.159
##
## , , 54 comps
##
## y
## x2.age 41.190
## x2.sex -261.948
## x2.bmi 444.328
## x2.map 347.708
## x2.tc -219.511
## x2.ldl 24.261
## x2.hdl -144.943
## x2.tch 127.786
## x2.ltg 690.461
## x2.glu 69.520
## x2.age.2 70.020
## x2.bmi.2 53.506
## x2.map.2 -5.035
## x2.tc.2 421.207
## x2.ldl.2 -39.256
## x2.hdl.2 252.110
## x2.tch.2 640.714
## x2.ltg.2 528.293
## x2.glu.2 117.989
## x2.age.sex 166.059
## x2.age.bmi -7.884
## x2.age.map 17.413
## x2.age.tc -250.250
## x2.age.ldl 2.333
## x2.age.hdl 251.554
## x2.age.tch 186.106
## x2.age.ltg 140.125
## x2.age.glu 62.401
## x2.sex.bmi 69.154
## x2.sex.map 90.283
## x2.sex.tc 350.822
## x2.sex.ldl -285.103
## x2.sex.hdl -90.151
## x2.sex.tch -115.542
## x2.sex.ltg -112.940
## x2.sex.glu 48.165
## x2.bmi.map 159.106
## x2.bmi.tc -633.608
## x2.bmi.ldl 522.164
## x2.bmi.hdl 233.747
## x2.bmi.tch -25.731
## x2.bmi.ltg 185.026
## x2.bmi.glu 28.514
## x2.map.tc 572.241
## x2.map.ldl -407.543
## x2.map.hdl -216.726
## x2.map.tch -51.125
## x2.map.ltg -194.084
## x2.map.glu -145.728
## x2.tc.ldl -9.563
## x2.tc.hdl -275.162
## x2.tc.tch -653.051
## x2.tc.ltg -983.369
## x2.tc.glu 15.702
## x2.ldl.hdl -177.325
## x2.ldl.tch -173.511
## x2.ldl.ltg 828.535
## x2.ldl.glu -93.144
## x2.hdl.tch 567.046
## x2.hdl.ltg 258.479
## x2.hdl.glu 149.002
## x2.tch.ltg -143.889
## x2.tch.glu 239.340
## x2.ltg.glu 11.999
##
## , , 55 comps
##
## y
## x2.age 42.8981
## x2.sex -259.2564
## x2.bmi 450.4031
## x2.map 344.7063
## x2.tc -245.1746
## x2.ldl 44.0218
## x2.hdl -125.5869
## x2.tch 132.8328
## x2.ltg 695.0194
## x2.glu 68.7811
## x2.age.2 68.6420
## x2.bmi.2 46.8819
## x2.map.2 -4.3501
## x2.tc.2 530.9276
## x2.ldl.2 -32.3485
## x2.hdl.2 290.0069
## x2.tch.2 636.9289
## x2.ltg.2 542.1306
## x2.glu.2 124.0101
## x2.age.sex 164.1827
## x2.age.bmi -11.3542
## x2.age.map 18.8644
## x2.age.tc -238.2398
## x2.age.ldl -8.3725
## x2.age.hdl 246.9404
## x2.age.tch 185.0929
## x2.age.ltg 140.7556
## x2.age.glu 63.3675
## x2.sex.bmi 68.7425
## x2.sex.map 91.3770
## x2.sex.tc 342.5690
## x2.sex.ldl -279.8574
## x2.sex.hdl -87.4422
## x2.sex.tch -110.5403
## x2.sex.ltg -113.2097
## x2.sex.glu 48.8234
## x2.bmi.map 163.0637
## x2.bmi.tc -650.7648
## x2.bmi.ldl 536.3824
## x2.bmi.hdl 240.3342
## x2.bmi.tch -19.6446
## x2.bmi.ltg 189.8215
## x2.bmi.glu 31.3687
## x2.map.tc 573.6732
## x2.map.ldl -407.2117
## x2.map.hdl -217.3808
## x2.map.tch -52.7170
## x2.map.ltg -196.0404
## x2.map.glu -148.4237
## x2.tc.ldl -113.5406
## x2.tc.hdl -372.4598
## x2.tc.tch -723.0736
## x2.tc.ltg -1034.4098
## x2.tc.glu 26.7034
## x2.ldl.hdl -108.5908
## x2.ldl.tch -103.0563
## x2.ldl.ltg 843.5857
## x2.ldl.glu -104.5847
## x2.hdl.tch 584.8101
## x2.hdl.ltg 296.0898
## x2.hdl.glu 148.8325
## x2.tch.ltg -111.4464
## x2.tch.glu 242.1225
## x2.ltg.glu 0.6562
##
## , , 56 comps
##
## y
## x2.age 43.6300
## x2.sex -260.6091
## x2.bmi 448.1230
## x2.map 346.4937
## x2.tc -355.8438
## x2.ldl 128.3629
## x2.hdl -66.6723
## x2.tch 165.7506
## x2.ltg 723.4013
## x2.glu 70.3426
## x2.age.2 67.4059
## x2.bmi.2 47.0100
## x2.map.2 -5.2505
## x2.tc.2 991.9080
## x2.ldl.2 0.3614
## x2.hdl.2 475.0030
## x2.tch.2 599.7368
## x2.ltg.2 583.7103
## x2.glu.2 117.3202
## x2.age.sex 162.4047
## x2.age.bmi -6.0953
## x2.age.map 14.6038
## x2.age.tc -196.6260
## x2.age.ldl -47.2433
## x2.age.hdl 238.4075
## x2.age.tch 194.1658
## x2.age.ltg 123.4949
## x2.age.glu 64.0171
## x2.sex.bmi 67.5035
## x2.sex.map 92.1445
## x2.sex.tc 311.9650
## x2.sex.ldl -256.2001
## x2.sex.hdl -70.4017
## x2.sex.tch -102.9763
## x2.sex.ltg -101.5525
## x2.sex.glu 49.9728
## x2.bmi.map 156.6281
## x2.bmi.tc -720.2122
## x2.bmi.ldl 594.0346
## x2.bmi.hdl 273.8081
## x2.bmi.tch -17.5552
## x2.bmi.ltg 224.6191
## x2.bmi.glu 28.0496
## x2.map.tc 571.8580
## x2.map.ldl -398.8223
## x2.map.hdl -229.1490
## x2.map.tch -72.5407
## x2.map.ltg -185.4677
## x2.map.glu -144.3367
## x2.tc.ldl -543.5534
## x2.tc.hdl -770.8746
## x2.tc.tch -1014.7444
## x2.tc.ltg -1244.6893
## x2.tc.glu 69.1742
## x2.ldl.hdl 160.0511
## x2.ldl.tch 185.9800
## x2.ldl.ltg 915.1307
## x2.ldl.glu -143.5825
## x2.hdl.tch 660.9805
## x2.hdl.ltg 445.8157
## x2.hdl.glu 131.7842
## x2.tch.ltg 20.9305
## x2.tch.glu 244.0205
## x2.ltg.glu -11.3878
##
## , , 57 comps
##
## y
## x2.age 43.009
## x2.sex -259.980
## x2.bmi 447.008
## x2.map 344.338
## x2.tc -424.728
## x2.ldl 229.041
## x2.hdl -91.465
## x2.tch 86.770
## x2.ltg 760.670
## x2.glu 71.215
## x2.age.2 66.084
## x2.bmi.2 45.369
## x2.map.2 -7.006
## x2.tc.2 1305.998
## x2.ldl.2 71.934
## x2.hdl.2 639.197
## x2.tch.2 620.561
## x2.ltg.2 618.175
## x2.glu.2 116.980
## x2.age.sex 162.724
## x2.age.bmi -9.651
## x2.age.map 15.303
## x2.age.tc -194.455
## x2.age.ldl -38.381
## x2.age.hdl 227.354
## x2.age.tch 179.398
## x2.age.ltg 125.039
## x2.age.glu 64.511
## x2.sex.bmi 66.663
## x2.sex.map 90.769
## x2.sex.tc 293.345
## x2.sex.ldl -249.744
## x2.sex.hdl -56.295
## x2.sex.tch -91.625
## x2.sex.ltg -95.160
## x2.sex.glu 50.778
## x2.bmi.map 158.372
## x2.bmi.tc -747.548
## x2.bmi.ldl 617.043
## x2.bmi.hdl 287.071
## x2.bmi.tch -16.279
## x2.bmi.ltg 238.664
## x2.bmi.glu 28.767
## x2.map.tc 539.067
## x2.map.ldl -377.450
## x2.map.hdl -209.595
## x2.map.tch -60.330
## x2.map.ltg -173.038
## x2.map.glu -145.201
## x2.tc.ldl -884.220
## x2.tc.hdl -1065.765
## x2.tc.tch -1229.079
## x2.tc.ltg -1380.889
## x2.tc.glu 60.421
## x2.ldl.hdl 357.765
## x2.ldl.tch 367.613
## x2.ldl.ltg 969.765
## x2.ldl.glu -132.721
## x2.hdl.tch 741.360
## x2.hdl.ltg 546.939
## x2.hdl.glu 129.696
## x2.tch.ltg 108.677
## x2.tch.glu 236.825
## x2.ltg.glu -5.083
##
## , , 58 comps
##
## y
## x2.age 46.562
## x2.sex -258.595
## x2.bmi 450.298
## x2.map 340.258
## x2.tc -687.896
## x2.ldl 454.113
## x2.hdl 12.896
## x2.tch 103.453
## x2.ltg 838.986
## x2.glu 71.790
## x2.age.2 66.160
## x2.bmi.2 48.237
## x2.map.2 -8.077
## x2.tc.2 2251.409
## x2.ldl.2 462.087
## x2.hdl.2 1220.718
## x2.tch.2 836.199
## x2.ltg.2 699.298
## x2.glu.2 117.979
## x2.age.sex 165.784
## x2.age.bmi -9.857
## x2.age.map 14.285
## x2.age.tc -190.968
## x2.age.ldl -38.874
## x2.age.hdl 226.115
## x2.age.tch 179.238
## x2.age.ltg 124.154
## x2.age.glu 66.280
## x2.sex.bmi 67.762
## x2.sex.map 89.085
## x2.sex.tc 388.124
## x2.sex.ldl -330.471
## x2.sex.hdl -91.476
## x2.sex.tch -97.882
## x2.sex.ltg -125.472
## x2.sex.glu 50.978
## x2.bmi.map 156.855
## x2.bmi.tc -665.210
## x2.bmi.ldl 544.524
## x2.bmi.hdl 271.053
## x2.bmi.tch -10.387
## x2.bmi.ltg 211.125
## x2.bmi.glu 26.818
## x2.map.tc 394.519
## x2.map.ldl -260.785
## x2.map.hdl -150.084
## x2.map.tch -49.717
## x2.map.ltg -122.178
## x2.map.glu -143.213
## x2.tc.ldl -2086.330
## x2.tc.hdl -2058.651
## x2.tc.tch -1877.841
## x2.tc.ltg -1715.165
## x2.tc.glu -3.022
## x2.ldl.hdl 1064.328
## x2.ldl.tch 822.069
## x2.ldl.ltg 1199.839
## x2.ldl.glu -74.653
## x2.hdl.tch 1158.240
## x2.hdl.ltg 771.487
## x2.hdl.glu 154.375
## x2.tch.ltg 202.469
## x2.tch.glu 235.328
## x2.ltg.glu 14.416
##
## , , 59 comps
##
## y
## x2.age 48.4609
## x2.sex -258.7671
## x2.bmi 455.6410
## x2.map 340.7939
## x2.tc -889.1830
## x2.ldl 629.1331
## x2.hdl 97.2056
## x2.tch 102.4130
## x2.ltg 906.4148
## x2.glu 68.2065
## x2.age.2 65.4415
## x2.bmi.2 47.6459
## x2.map.2 -5.8048
## x2.tc.2 3004.0916
## x2.ldl.2 956.5353
## x2.hdl.2 1315.2269
## x2.tch.2 913.9408
## x2.ltg.2 732.5617
## x2.glu.2 116.4527
## x2.age.sex 163.7903
## x2.age.bmi -10.6453
## x2.age.map 14.5101
## x2.age.tc -193.4175
## x2.age.ldl -41.1706
## x2.age.hdl 230.5872
## x2.age.tch 188.7968
## x2.age.ltg 121.3367
## x2.age.glu 68.0254
## x2.sex.bmi 69.0849
## x2.sex.map 87.8813
## x2.sex.tc 507.0368
## x2.sex.ldl -420.4931
## x2.sex.hdl -144.5405
## x2.sex.tch -121.2256
## x2.sex.ltg -165.8596
## x2.sex.glu 50.1309
## x2.bmi.map 154.6993
## x2.bmi.tc -555.1748
## x2.bmi.ldl 461.6559
## x2.bmi.hdl 222.2406
## x2.bmi.tch -24.6709
## x2.bmi.ltg 180.8976
## x2.bmi.glu 20.8668
## x2.map.tc 447.2721
## x2.map.ldl -307.8682
## x2.map.hdl -171.5087
## x2.map.tch -49.6277
## x2.map.ltg -136.3267
## x2.map.glu -139.6448
## x2.tc.ldl -3247.3393
## x2.tc.hdl -2358.8206
## x2.tc.tch -2322.8587
## x2.tc.ltg -1964.9062
## x2.tc.glu -84.7169
## x2.ldl.hdl 1271.3696
## x2.ldl.tch 1176.4463
## x2.ldl.ltg 1357.0762
## x2.ldl.glu -0.4735
## x2.hdl.tch 1363.6601
## x2.hdl.ltg 856.3024
## x2.hdl.glu 184.9059
## x2.tch.ltg 375.9225
## x2.tch.glu 231.3590
## x2.ltg.glu 53.9382
##
## , , 60 comps
##
## y
## x2.age 49.461
## x2.sex -262.876
## x2.bmi 457.848
## x2.map 342.926
## x2.tc -1518.947
## x2.ldl 1193.594
## x2.hdl 330.456
## x2.tch 91.003
## x2.ltg 1121.065
## x2.glu 64.440
## x2.age.2 61.611
## x2.bmi.2 52.883
## x2.map.2 -5.464
## x2.tc.2 5083.017
## x2.ldl.2 2174.693
## x2.hdl.2 1506.708
## x2.tch.2 827.383
## x2.ltg.2 1104.105
## x2.glu.2 115.523
## x2.age.sex 156.819
## x2.age.bmi -12.204
## x2.age.map 16.773
## x2.age.tc -382.508
## x2.age.ldl 109.900
## x2.age.hdl 304.796
## x2.age.tch 208.686
## x2.age.ltg 196.772
## x2.age.glu 68.180
## x2.sex.bmi 70.355
## x2.sex.map 89.957
## x2.sex.tc 500.267
## x2.sex.ldl -405.824
## x2.sex.hdl -150.944
## x2.sex.tch -132.180
## x2.sex.ltg -158.015
## x2.sex.glu 45.673
## x2.bmi.map 150.611
## x2.bmi.tc -211.206
## x2.bmi.ldl 180.162
## x2.bmi.hdl 72.631
## x2.bmi.tch -63.980
## x2.bmi.ltg 70.789
## x2.bmi.glu 24.283
## x2.map.tc 513.635
## x2.map.ldl -360.884
## x2.map.hdl -203.909
## x2.map.tch -58.728
## x2.map.ltg -160.641
## x2.map.glu -136.166
## x2.tc.ldl -6394.680
## x2.tc.hdl -3227.088
## x2.tc.tch -2319.902
## x2.tc.ltg -3120.983
## x2.tc.glu -135.845
## x2.ldl.hdl 1967.604
## x2.ldl.tch 1252.306
## x2.ldl.ltg 2186.788
## x2.ldl.glu 46.441
## x2.hdl.tch 1256.507
## x2.hdl.ltg 1231.106
## x2.hdl.glu 203.630
## x2.tch.ltg 403.580
## x2.tch.glu 238.759
## x2.ltg.glu 61.186
##
## , , 61 comps
##
## y
## x2.age 50.748
## x2.sex -266.160
## x2.bmi 460.285
## x2.map 344.400
## x2.tc -2078.820
## x2.ldl 1690.756
## x2.hdl 533.490
## x2.tch 75.860
## x2.ltg 1326.962
## x2.glu 61.566
## x2.age.2 66.831
## x2.bmi.2 47.301
## x2.map.2 -7.095
## x2.tc.2 6636.535
## x2.ldl.2 3576.322
## x2.hdl.2 1741.161
## x2.tch.2 726.505
## x2.ltg.2 1384.683
## x2.glu.2 113.980
## x2.age.sex 149.319
## x2.age.bmi -15.729
## x2.age.map 19.990
## x2.age.tc -211.693
## x2.age.ldl -29.081
## x2.age.hdl 232.247
## x2.age.tch 194.682
## x2.age.ltg 138.863
## x2.age.glu 62.471
## x2.sex.bmi 65.756
## x2.sex.map 89.223
## x2.sex.tc 478.027
## x2.sex.ldl -389.404
## x2.sex.hdl -142.224
## x2.sex.tch -135.072
## x2.sex.ltg -134.906
## x2.sex.glu 46.318
## x2.bmi.map 154.441
## x2.bmi.tc -293.618
## x2.bmi.ldl 234.131
## x2.bmi.hdl 116.479
## x2.bmi.tch -36.447
## x2.bmi.ltg 109.474
## x2.bmi.glu 23.417
## x2.map.tc 548.115
## x2.map.ldl -383.594
## x2.map.hdl -218.169
## x2.map.tch -62.590
## x2.map.ltg -182.335
## x2.map.glu -133.737
## x2.tc.ldl -9294.049
## x2.tc.hdl -3970.909
## x2.tc.tch -2200.001
## x2.tc.ltg -4021.596
## x2.tc.glu -237.621
## x2.ldl.hdl 2706.676
## x2.ldl.tch 1245.370
## x2.ldl.ltg 2968.581
## x2.ldl.glu 133.863
## x2.hdl.tch 1138.638
## x2.hdl.ltg 1561.295
## x2.hdl.glu 246.036
## x2.tch.ltg 387.273
## x2.tch.glu 246.908
## x2.ltg.glu 107.621
##
## , , 62 comps
##
## y
## x2.age 50.89
## x2.sex -267.36
## x2.bmi 460.46
## x2.map 342.81
## x2.tc -2126.40
## x2.ldl 1733.68
## x2.hdl 551.75
## x2.tch 74.45
## x2.ltg 1344.39
## x2.glu 62.66
## x2.age.2 67.68
## x2.bmi.2 45.91
## x2.map.2 -8.21
## x2.tc.2 6794.32
## x2.ldl.2 3694.15
## x2.hdl.2 1752.27
## x2.tch.2 768.49
## x2.ltg.2 1411.34
## x2.glu.2 114.13
## x2.age.sex 148.83
## x2.age.bmi -18.21
## x2.age.map 18.68
## x2.age.tc -169.67
## x2.age.ldl -58.71
## x2.age.hdl 213.55
## x2.age.tch 186.07
## x2.age.ltg 128.26
## x2.age.glu 62.40
## x2.sex.bmi 64.36
## x2.sex.map 88.17
## x2.sex.tc 446.34
## x2.sex.ldl -362.23
## x2.sex.hdl -130.21
## x2.sex.tch -133.65
## x2.sex.ltg -123.23
## x2.sex.glu 45.89
## x2.bmi.map 154.87
## x2.bmi.tc -306.72
## x2.bmi.ldl 245.87
## x2.bmi.hdl 123.29
## x2.bmi.tch -33.60
## x2.bmi.ltg 115.97
## x2.bmi.glu 23.32
## x2.map.tc 475.35
## x2.map.ldl -324.31
## x2.map.hdl -186.30
## x2.map.tch -57.95
## x2.map.ltg -153.68
## x2.map.glu -133.50
## x2.tc.ldl -9544.87
## x2.tc.hdl -3996.71
## x2.tc.tch -2207.86
## x2.tc.ltg -4111.85
## x2.tc.glu -169.33
## x2.ldl.hdl 2705.87
## x2.ldl.tch 1214.32
## x2.ldl.ltg 3034.86
## x2.ldl.glu 79.83
## x2.hdl.tch 1182.99
## x2.hdl.ltg 1577.23
## x2.hdl.glu 214.40
## x2.tch.ltg 390.95
## x2.tch.glu 234.80
## x2.ltg.glu 80.48
##
## , , 63 comps
##
## y
## x2.age 50.855
## x2.sex -267.288
## x2.bmi 460.736
## x2.map 342.937
## x2.tc -2127.951
## x2.ldl 1734.934
## x2.hdl 553.149
## x2.tch 75.052
## x2.ltg 1344.434
## x2.glu 62.806
## x2.age.2 67.764
## x2.bmi.2 45.902
## x2.map.2 -8.427
## x2.tc.2 6803.376
## x2.ldl.2 3693.375
## x2.hdl.2 1754.813
## x2.tch.2 773.989
## x2.ltg.2 1413.190
## x2.glu.2 114.225
## x2.age.sex 148.722
## x2.age.bmi -18.068
## x2.age.map 18.542
## x2.age.tc -157.866
## x2.age.ldl -68.096
## x2.age.hdl 208.939
## x2.age.tch 184.970
## x2.age.ltg 124.297
## x2.age.glu 62.506
## x2.sex.bmi 64.586
## x2.sex.map 88.482
## x2.sex.tc 433.817
## x2.sex.ldl -352.971
## x2.sex.hdl -124.886
## x2.sex.tch -131.328
## x2.sex.ltg -119.100
## x2.sex.glu 45.727
## x2.bmi.map 154.771
## x2.bmi.tc -301.061
## x2.bmi.ldl 240.634
## x2.bmi.hdl 121.704
## x2.bmi.tch -33.338
## x2.bmi.ltg 114.306
## x2.bmi.glu 23.354
## x2.map.tc 478.486
## x2.map.ldl -326.965
## x2.map.hdl -187.320
## x2.map.tch -58.105
## x2.map.ltg -155.056
## x2.map.glu -133.489
## x2.tc.ldl -9549.680
## x2.tc.hdl -3997.987
## x2.tc.tch -2208.572
## x2.tc.ltg -4116.689
## x2.tc.glu -176.359
## x2.ldl.hdl 2700.912
## x2.ldl.tch 1209.022
## x2.ldl.ltg 3036.953
## x2.ldl.glu 85.869
## x2.hdl.tch 1189.979
## x2.hdl.ltg 1577.430
## x2.hdl.glu 217.541
## x2.tch.ltg 390.285
## x2.tch.glu 235.497
## x2.ltg.glu 83.570
##
## , , 64 comps
##
## y
## x2.age 50.72
## x2.sex -267.34
## x2.bmi 460.72
## x2.map 342.93
## x2.tc -3599.54
## x2.ldl 3028.28
## x2.hdl 1103.05
## x2.tch 74.94
## x2.ltg 1828.21
## x2.glu 62.75
## x2.age.2 67.69
## x2.bmi.2 45.85
## x2.map.2 -8.46
## x2.tc.2 6668.45
## x2.ldl.2 3583.17
## x2.hdl.2 1731.82
## x2.tch.2 773.37
## x2.ltg.2 1451.58
## x2.glu.2 114.15
## x2.age.sex 148.68
## x2.age.bmi -18.05
## x2.age.map 18.53
## x2.age.tc -158.89
## x2.age.ldl -67.28
## x2.age.hdl 209.25
## x2.age.tch 184.96
## x2.age.ltg 124.67
## x2.age.glu 62.58
## x2.sex.bmi 64.61
## x2.sex.map 88.47
## x2.sex.tc 433.60
## x2.sex.ldl -352.82
## x2.sex.hdl -124.73
## x2.sex.tch -131.22
## x2.sex.ltg -118.99
## x2.sex.glu 45.76
## x2.bmi.map 154.72
## x2.bmi.tc -302.04
## x2.bmi.ldl 241.54
## x2.bmi.hdl 121.94
## x2.bmi.tch -33.44
## x2.bmi.ltg 114.67
## x2.bmi.glu 23.38
## x2.map.tc 478.30
## x2.map.ldl -326.74
## x2.map.hdl -187.30
## x2.map.tch -58.29
## x2.map.ltg -154.80
## x2.map.glu -133.48
## x2.tc.ldl -9313.78
## x2.tc.hdl -3932.02
## x2.tc.tch -2205.91
## x2.tc.ltg -3801.44
## x2.tc.glu -176.29
## x2.ldl.hdl 2642.64
## x2.ldl.tch 1206.82
## x2.ldl.ltg 2773.70
## x2.ldl.glu 85.63
## x2.hdl.tch 1188.41
## x2.hdl.ltg 1467.85
## x2.hdl.glu 217.54
## x2.tch.ltg 389.80
## x2.tch.glu 235.69
## x2.ltg.glu 83.52
validationplot(ap) #此图可用来根据cv所用准则最优的原则挑选因子数量

RMSEP(ap);MSEP(ap);R2(ap) #不同准则(MSEP,R2)在不同因子数量时的值
## (Intercept) 1 comps 2 comps 3 comps 4 comps 5 comps 6 comps
## CV 77.18 60.24 58.03 56.69 56.09 55.98 55.93
## adjCV 77.18 60.03 58.10 56.50 55.85 55.70 55.67
## 7 comps 8 comps 9 comps 10 comps 11 comps 12 comps 13 comps
## CV 56.22 56.35 56.53 56.83 56.99 57.14 57.17
## adjCV 55.91 56.02 56.18 56.45 56.59 56.72 56.75
## 14 comps 15 comps 16 comps 17 comps 18 comps 19 comps
## CV 57.34 57.35 57.33 57.37 57.33 57.37
## adjCV 56.90 56.91 56.89 56.93 56.90 56.92
## 20 comps 21 comps 22 comps 23 comps 24 comps 25 comps
## CV 57.31 57.44 57.52 57.56 57.62 57.61
## adjCV 56.87 56.99 57.07 57.10 57.15 57.15
## 26 comps 27 comps 28 comps 29 comps 30 comps 31 comps
## CV 57.61 57.54 57.47 57.54 57.58 57.68
## adjCV 57.15 57.09 57.02 57.09 57.13 57.22
## 32 comps 33 comps 34 comps 35 comps 36 comps 37 comps
## CV 57.76 57.86 57.94 58.02 58.03 58.09
## adjCV 57.30 57.39 57.45 57.53 57.54 57.59
## 38 comps 39 comps 40 comps 41 comps 42 comps 43 comps
## CV 58.18 58.23 58.27 58.31 58.33 58.37
## adjCV 57.68 57.72 57.76 57.79 57.81 57.85
## 44 comps 45 comps 46 comps 47 comps 48 comps 49 comps
## CV 58.40 58.41 58.41 58.40 58.44 58.45
## adjCV 57.88 57.89 57.88 57.87 57.91 57.92
## 50 comps 51 comps 52 comps 53 comps 54 comps 55 comps
## CV 58.43 58.48 58.47 58.46 58.50 58.48
## adjCV 57.90 57.94 57.94 57.93 57.97 57.95
## 56 comps 57 comps 58 comps 59 comps 60 comps 61 comps
## CV 58.49 58.48 58.77 58.95 59.39 59.09
## adjCV 57.96 57.95 58.22 58.39 58.78 58.51
## 62 comps 63 comps 64 comps
## CV 58.97 58.98 59.01
## adjCV 58.39 58.40 58.43
## (Intercept) 1 comps 2 comps 3 comps 4 comps 5 comps 6 comps
## CV 5957 3629 3367 3214 3146 3134 3128
## adjCV 5957 3603 3375 3192 3119 3103 3099
## 7 comps 8 comps 9 comps 10 comps 11 comps 12 comps 13 comps
## CV 3161 3176 3195 3230 3248 3265 3269
## adjCV 3126 3139 3156 3187 3202 3217 3221
## 14 comps 15 comps 16 comps 17 comps 18 comps 19 comps
## CV 3288 3288 3286 3291 3287 3291
## adjCV 3238 3239 3237 3241 3237 3240
## 20 comps 21 comps 22 comps 23 comps 24 comps 25 comps
## CV 3284 3299 3309 3313 3320 3319
## adjCV 3234 3248 3257 3261 3266 3266
## 26 comps 27 comps 28 comps 29 comps 30 comps 31 comps
## CV 3319 3311 3302 3311 3316 3327
## adjCV 3266 3259 3252 3259 3264 3274
## 32 comps 33 comps 34 comps 35 comps 36 comps 37 comps
## CV 3337 3348 3357 3366 3367 3375
## adjCV 3283 3293 3301 3309 3310 3317
## 38 comps 39 comps 40 comps 41 comps 42 comps 43 comps
## CV 3385 3391 3395 3400 3402 3407
## adjCV 3327 3332 3336 3340 3342 3347
## 44 comps 45 comps 46 comps 47 comps 48 comps 49 comps
## CV 3411 3412 3411 3410 3415 3417
## adjCV 3350 3351 3350 3349 3353 3355
## 50 comps 51 comps 52 comps 53 comps 54 comps 55 comps
## CV 3414 3420 3419 3417 3423 3419
## adjCV 3352 3358 3357 3356 3361 3358
## 56 comps 57 comps 58 comps 59 comps 60 comps 61 comps
## CV 3421 3419 3454 3475 3527 3492
## adjCV 3359 3358 3390 3410 3456 3423
## 62 comps 63 comps 64 comps
## CV 3477 3478 3482
## adjCV 3409 3411 3414
## (Intercept) 1 comps 2 comps 3 comps 4 comps
## -0.00454 0.38802 0.43219 0.45798 0.46952
## 5 comps 6 comps 7 comps 8 comps 9 comps
## 0.47151 0.47242 0.46695 0.46445 0.46113
## 10 comps 11 comps 12 comps 13 comps 14 comps
## 0.45538 0.45227 0.44940 0.44877 0.44557
## 15 comps 16 comps 17 comps 18 comps 19 comps
## 0.44544 0.44581 0.44504 0.44571 0.44505
## 20 comps 21 comps 22 comps 23 comps 24 comps
## 0.44613 0.44366 0.44196 0.44130 0.44020
## 25 comps 26 comps 27 comps 28 comps 29 comps
## 0.44023 0.44034 0.44165 0.44310 0.44168
## 30 comps 31 comps 32 comps 33 comps 34 comps
## 0.44083 0.43894 0.43734 0.43536 0.43396
## 35 comps 36 comps 37 comps 38 comps 39 comps
## 0.43238 0.43217 0.43093 0.42914 0.42811
## 40 comps 41 comps 42 comps 43 comps 44 comps
## 0.42741 0.42665 0.42632 0.42537 0.42481
## 45 comps 46 comps 47 comps 48 comps 49 comps
## 0.42461 0.42472 0.42491 0.42414 0.42384
## 50 comps 51 comps 52 comps 53 comps 54 comps
## 0.42431 0.42333 0.42350 0.42372 0.42282
## 55 comps 56 comps 57 comps 58 comps 59 comps
## 0.42335 0.42313 0.42336 0.41760 0.41392
## 60 comps 61 comps 62 comps 63 comps 64 comps

## 0.40518 0.41109 0.41363 0.41342 0.41272

# 图可以用来根据CV中的RMSEP最小的原则挑选因子数量。可以看出5个因子时RMSEP最小。用其他准则，比如RMSEP和R2都选择了5个因子。

【读书笔记】数据出现多重共线性情况：岭回归，lasso回归，适应性lasso回归，偏最小二乘回归

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