The third is the ill-condition separation algorithm in multicollinear regression model.
复共线回归模型的病态分离算法。
The results show that the robust principal component estimation can not only overcome the ill condition of the normal equation. but also resist the outlier effects to the model parameters.
结果表明：抗差主成分估计不仅可以解除法方程系数降的病态，而且对于抑制观测粗差的影响也有显著功效。
The method for solving the ill-condition of model is put forward by improving the original linear equations. The result of its application verifies the effectiveness of th…
提出了通过处理原始方程组解决模型病态性的方法，通过实例验证了该方法的有效性。
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