数学算法中的一种迭代方法，高斯迭代法，是使用泰勒级数展开式去近似地代替非线性回归模型，然后通过多次迭代，多次修正回归系数，使回归系数不断逼近非线性回归模型的最佳回归系数，最后使原模型的残差平方和达到最小。-Mathematical algorithms in an iterative method, Gauss iterative method, using the Taylor series expansion to approximate instead of nonlinear regression models, and then through several iterations, several amendments to the regression coefficients, so that the regression coefficients closer and closer to non-linear regression model The best regression coefficients, and finally the residual sum of squares of the original model and to a minimum.