摘要
本文介绍用最小二乘准则建立多对多线性回归模型 (MLR) ,以及建立主成分回归 (PCR) ,并通过例子比较之。
In the paper, we discussed how to builds multiple linear regression (MLR) model with least-squares criterion,and builds principal component regression model, made a comparison between them by the example.
出处
《数理统计与管理》
CSSCI
北大核心
2002年第2期60-64,共5页
Journal of Applied Statistics and Management
