Several approximate formulas are given for residual analysis of the least square estimator in nonlinear regression model.

To obtain sample space used to establish the nonlinear regression model, the FEM simulation tests were arranged with the methods of orthogonal and random experimental design.

In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.