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.

引用

页码：21 / 31

页数：11

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