PLS works

被引:29
作者
Bro, R. [1 ]
Elden, L. [2 ]
机构
[1] Univ Copenhagen, Dept Food Sci, DK-1168 Copenhagen, Denmark
[2] Linkoping Univ, Dept Math, S-58183 Linkoping, Sweden
关键词
PLS; NIPALS; Lanczos bidiagonalization; LEAST-SQUARES REGRESSION;
D O I
10.1002/cem.1177
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In a recent paper, claims were made that most current implementations of PLS provide wrong and misleading residuals [1]. In this paper the relation between PLS and Lanczos bidiagonalization is described and it is shown that there is a good rationale behind current implementations of PLS. Most importantly, the residuals determined in current implementations of PLS are independent of the scores used for predicting the dependent variable(s). Oppositely, in the newly suggested approach, the residuals are correlated to the scores and hence may be high due to variation that is actually used for predicting. It is concluded that the current practice of calculating residuals be maintained. Copyright (C) 2008 John Wiley & Sons, Ltd.
引用
收藏
页码:69 / 71
页数:3
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