Variable influence on projection (VIP) for orthogonal projections to latent structures (OPLS)

被引：247

作者：

Galindo-Prieto, Beatriz ^{[1
,2
]}

Eriksson, Lennart ^{[3
]}

Trygg, Johan ^{[1
]}

机构：

[1] Umea Univ, Computat Life Sci Cluster CLiC, Dept Chem, Umea, Sweden

[2] Umea Univ, Ind Doctoral Sch, Umea, Sweden

[3] MKS Umetr, Umea, Sweden

来源：

JOURNAL OF CHEMOMETRICS | 2014年 / 28卷 / 08期

基金：

瑞典研究理事会;

关键词：

variable influence on projection; VIP; OPLS; variable selection; PLS; PARTIAL LEAST-SQUARES; PLS PLUS ST; MULTIVARIATE CALIBRATION; SELECTION; REGRESSION; MODELS; CHEMOMETRICS; PREDICTION; TUTORIAL;

D O I：

10.1002/cem.2627

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new approach for variable influence on projection (VIP) is described, which takes full advantage of the orthogonal projections to latent structures (OPLS) model formalism for enhanced model interpretability. This means that it will include not only the predictive components in OPLS but also the orthogonal components. Four variants of variable influence on projection (VIP) adapted to OPLS have been developed, tested and compared using three different data sets, one synthetic with known properties and two real-world cases. Copyright (C) 2014 John Wiley & Sons, Ltd.

引用

页码：623 / 632

页数：10

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