Variable and subset selection in PLS regression

摘要: The purpose of this paper is to present some useful methods for introductory analysis variables and subsets in relation PLS regression. We here that are efficient finding the appropriate or subset use general conclusion variable selection important successful chemometric data. An aspect results presented lack can spoil regression, cross-validation measures using a test set show larger variation, when we different X, than obtained by methods. also an approach orthogonal scatter correction. procedures comparisons applied industrial