Partial least squares regression with Curds and Whey

被引：10
|
作者：
Xu, QS
de Jong, S
Lewi, P
Massart, DL
机构：
[1] Free Univ Brussels, Inst Pharmaceut, FABI, ChemoAC, B-1090 Brussels, Belgium
[2] Unilever Res Labs Vlaardingen, NL-3130 AC Vlaardingen, Netherlands
[3] Janssen Pharmaceut NV, CMD, B-2350 Vosselaar, Belgium
来源：
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2004年 / 71卷 / 01期
关键词：
PLS; correlated responses; canonical analysis; Curds and Whey;
D O I：
10.1016/j.chemolab.2003.11.008
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 order to make use of information between correlated responses in calibration, a new PLS method called PLS with Curds and Whey (PLS-C&W) is introduced. It combines PLS regression with a canonical analysis between the PLS estimates and the responses. The estimates are suitably shrunk in the canonical co-ordinate system using generalized cross-validation(GCV). The results obtained from five data sets show that PLS-C&W methods yield calibration models of high prediction ability. (C) 2004 Elsevier BY All rights reserved.
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页码：21 / 31
页数：11
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