Abstract
In this paper, the partial least-squares (PLS) is
discussed. A new hybrid method combining PLS with GAGP, in which
selection of variables, selection of functions and optimization of
parameters were carried at the same time without any foreknowledge, was
studied. A number of PLS algorithms (linear PLS, QPLS, SPL-PLS, NPLSNGA)
that have appeared were compared from a theoretical viewpoint. Eight
practical results with all the compared methods indicated that nonlinear
models are better than linear model. In nonlinear methods, GAGP-PLS is
significant. (C) 2002 Elsevier Science B.V. All rights reserved.
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