The GIFI approach to non‐linear PLS modeling
The GIFI approach to non‐linear PLS modeling
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非线性 PLS 建模的 GIFI 方法
DOI：
10.1002/cem.679
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发表时间：
2001
影响因子：
2.4
通讯作者：
Dave R. Cameron
中科院分区：
文献类型：
--
作者：
A. Berglund;Nouna Kettaneh;Lise;S. Wold;Nancy Bendwell;Dave R. Cameron
非线性建模的GIFI方法涉及将定量变量转换为一组1/0假人，其方式与定性变量的编码方式类似。接着通过主成分分析、多元回归或如本文所讨论的PLS来分析1/0虚拟物的集合。所得系数的模式表明了数据中非线性的性质。在这里，PLS回归的潜在用途和局限性，结合GIFI编码的四个变体，使用模拟和经验数据集进行了研究。版权所有© 2001约翰威利父子有限公司
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 © 2001 John Wiley & Sons, Ltd.