Partial least squares for discrimination
Abstract
Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied scientists routinely use PLS for classification and there is substantial empirical evidence to suggest that it performs well in that role. The interesting question is: why can a procedure that is principally designed for overdetermined regression problems locate and emphasize group structure? Using PLS in this manner has...
Paper Details
Title
Partial least squares for discrimination
Published Date
Jan 1, 2003
Journal
Volume
17
Issue
3
Pages
166 - 173
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