Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1181756 | Chemometrics and Intelligent Laboratory Systems | 2006 | 6 Pages |
Abstract
Combined the sequential projection pursuit and Partial Least Squares (PLS) analysis, a novel approach was firstly proposed for the identification of the most important variables. The computational experiments indicated that the approach proposed could obtain more satisfactory analytical results than that of PLS analysis and stepwise regression. Moreover, this work indicated that the prediction capability of the model was not always suitable to be the criterion of the identification of the most important variables.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Hong Lin Zhai, Xing Guo Chen, Zhi De Hu,