Least Squares Fitting of Data

把积分变成求和，再以所得到关于点集正交的多项式作基求最小二乘的拟合曲线-The integral into a sum of them, and then got on the point set of orthogonal polynomials for least-squares fitting curve of the base demand

采用最小二乘逼近作为拟合实验数据的方法,利用F检验,确定实验数据拟合优度及最佳阶数,用编制的程序来拟合实验数据,得到了较好的结果-Least-squares fitting