classical least-square method

基本解釋

The superiority of the classical least square method is lost due to the morbid of designed matrix in large-type linear regression analysis.
在大型線性回歸分析中，由于設(shè)計(jì)矩陣的病態(tài)使得經(jīng)典的最小二乘法失去了優(yōu)良性。
Experiment results show that the proposed method has evident advantage over the classical methods such as multi-variant linear regression and partial least square.
實(shí)驗(yàn)結(jié)果表明該方法不僅可以顯著減少計(jì)算時(shí)間，在預(yù)測(cè)精度上比常用的多元線性回歸和偏最小二乘等方法有顯著提高。