The GIFI approach to non-linear PLS modeling

被引:18
作者
Berglund, A [1 ]
Kettaneh, N
Uppgård, LL
Wold, S
Bendwell, N
Cameron, DR
机构
[1] Umea Univ, Dept Chem, SE-90187 Umea, Sweden
[2] Umetr Inc, Kinnelon, NJ USA
[3] Tembec Inc, Quebec City, PQ, Canada
关键词
GIFI-PLS; non-linear PLS; PLS; non-linearity;
D O I
10.1002/cem.679
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The GIFI approach to non-linear modeling involves the transformation of quantitative variables to a set of 1/0 dummies in a similar manner to the way qualitative variables are coded, This is followed by analyzing the sets of 1/0 dummies by principal component analysis, multiple regression or, as discussed here, PLS. The patterns of the resulting coefficients indicate the nature of the non-linearities in the data. Here the potential uses and limitations of PLS regression, in combination with four variants of GIFI coding, are investigated using both simulated and empirical data sets. Copyright (C) 2001 John Wiley & Sons, Ltd.
引用
收藏
页码:321 / 336
页数:16
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