操作步驟：
如下圖
matlab->start->Curve Fitting ->Curve Fitting Tool(cftool)打開曲線擬合的界面，如下圖
選擇X、Y、Z軸的數據，此處不在贅述。
Custom Equation:自定義公式
Interpolant:插值函數
Nearest neighbor:最近鄰居；
Linear：線性；
Cubic：立方體；
Lowess(這個不太清楚)；
Polynomial:多項式；
SSE （趨向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（趨向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（趨向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（趨向0最好） – The root mean squared error. A value closer to 0 indicates a better fit.