A PLS Method based on Schmidt Transformation of Multi-block Independent Variables: an Application

被引：0

作者：

Wang Lanhui ^{[1
]}

Wang Huiwen ^{[1
]}

机构：

[1] Beijing Univ Aeronaut & Astronaut, Sch Management, Beijing 100083, Peoples R China

来源：

RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, PTS 1 AND 2 | 2008年

关键词：

Variable Selection; Schmidt Method; Multi-collinearity; PLS Method; Timber consumption;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We have proposed a PLS method based on a Schmidt transformation in order to select variables from multi-block independent variables. At first, the Schmidt method is applied to select the major independent variables in each block; then a PLS regression is implemented on the selected variables to overcome the collinearity problem and which guarantee the fit and explanatory power of the model. In the end, the method was applied to capture factors affecting timber consumption as a case study to illustrate the efficiency and rational of the method.

引用

页码：1307 / 1312

页数：6