Kernel partial least square regression with high resistance to multiple outliers and bad leverage points on near-infrared spectral data analysis

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Kernel partial least square regression with high resistance to multiple outliers and bad leverage points on near-infrared spectral data analysis

Multivariate statistical analysis such as partial least square regression (PLSR) is the common data processing technique used to handle high-dimensional data space on near-infrared (NIR) spectral datasets. The PLSR is useful to tackle the multicollinearity and heteroscedasticity problem that can be...

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Bibliographic Details
Main Authors:	Silalahi, Divo Dharma, Midi, Habshah, Arasan, Jayanthi, Mustafa, Mohd Shafie, Caliman, Jean-Pierre
Format:	Article
Published:	MDPI AG 2021
Online Access:	http://psasir.upm.edu.my/id/eprint/93966/

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