The superiority of the classical least square method is lost due to the morbid of designed matrix in large-type linear regression analysis.
在大型线性回归分析中，由于设计矩阵的病态使得经典的最小二乘法失去了优良性。
After expounding the modeling method of multiple linear regression based on least square algorithm, the thermal distortion model is modelled.
在介绍了基于最小二乘法的多元线性回归建模方法后，建模了机床的热变形实时预测模型。
In this paper a "compact least square method" is presented to overcome the ill-conditioned coefficient matrices in the linear regression models.
本文提出一种克服线性回归模型系数矩阵病态的“紧致最小二乘估计”。
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