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Prediction-weighted partial least-squares regression method (PWPLS)

✍ Scribed by Yukio Tominaga; Iwao Fujiwara

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
522 KB
Volume
38
Category
Article
ISSN
0169-7439

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✦ Synopsis

Prediction-weighted partial least-squares (PWPLS) is a progressive approach of partial least-squares (PLS) regression. PWPLS is a simple, efficient, and evolutionary algorithm to select appropriate predictor variables, and weight each selected predictor variable for improving predictability when there is only one dependent variable. We applied PWPLS to two QSAR data sets, and compared the predictability results of PWPLS with that of PLS. 0 1997 Elsevier Science B.V.

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