Determination of the optimal number of PLS components based on the combination of cross-validation and RMD-MRCD-PCA weighting function

Partial least squares (PLS) regression is a very useful tool for the analysis of high dimensional data (HDD). Choosing the ideal number of PLS components is a vital step in developing the best model. The accuracy of the model will be affected if there are too many or too few PLS components being sel...

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Bibliographic Details

Main Authors:	Habshah Midi, Siti Zahariah Abdul Wahab, Azree Shahrel Ahmad Nazri
Format:	Article
Language:	en
Published:	Penerbit Universiti Kebangsaan Malaysia 2025
Online Access:	http://journalarticle.ukm.my/26523/1/SSS%2016.pdf http://journalarticle.ukm.my/26523/ https://www.ukm.my/jsm/english_journals/vol54num11_2025/contentsVol54num11_2025.html
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