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设训练数据为（Xi,Yi）,i=1,2,...,n.回归模型为 Y = aX + b + W.a,b为待定系数。w为模型误差。Yi = aXi + b + Wi, Wi = Yi - aXi - b, i = 1,2,...,n一般的回归准则是使得[W1]^2 + [W2]^2 + ... + [Wn]^2 = [Y1-aX1-b]^2 + [Y2-aX2-b]^2 + ... + [Yn-aXn-b]^2= a^2{[X1]^2 + ... + [Xn]^2} + nb^2 + 2ab[X1 + ... + Xn] - 2a[Y1X1 + ... + YnXn] - 2b[Y1 + ... + Yn] + [Y1]... |
