中文说明：他的最小二乘方法是近似解的方程组，在回归分析的标准方法 即，设置的方程，其中有风险性比公式
English Description：
he method of least squares is a standard approach in regression analysis to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. "Least squares" means that the overall solution minimizes the sum of the squares of the errors made in the results of every single equation. The most important application is in data fitting. The best fit in the least-squares sense minimizes the sum of squared residuals, a residual being the difference between an observed value and the fitted value provided by a model. When the problem has substantial uncertainties in the Click the file on the left to start the preview,please ！The preview only provides 20% of the code snippets, the complete code needs to be downloaded Loading Report