matlab2012 toolbox 曲线拟合

操作步骤：
如下图
matlab->start->Curve Fitting ->Curve Fitting Tool(cftool)打开曲线拟合的界面，如下图

选择X、Y、Z轴的数据，此处不在赘述。
Custom Equation:自定义公式
Interpolant:插值函数
Nearest neighbor:最近邻居；
Linear：线性；
Cubic：立方体；
Lowess(这个不太清楚)；
Polynomial:多项式；

SSE （趋向0最好）– The sum of squares due to error. This statistic measures the deviation of the responses from the fitted values of the responses. A value closer to 0 indicates a better fit.
R-square（趋向1最好） – The coefficient of multiple determination. This statistic measures how successful the fit is in explaining the variation of the data. A value closer to 1 indicates a better fit.
Adjusted R-square（趋向1最好） – The degree of freedom adjusted R-square. A value closer to 1 indicates a better fit. It is generally the best indicator of the fit quality when you add additional coefficients to your model.
RMSE（趋向0最好） – The root mean squared error. A value closer to 0 indicates a better fit.