Automated fitting process using robust reliable weighted average on near infrared spectral data analysis

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Automated fitting process using robust reliable weighted average on near infrared spectral data analysis

With the complexity of Near Infrared (NIR) spectral data, the selection of the optimal number of Partial Least Squares (PLS) components in the fitted Partial Least Squares Regression (PLSR) model is very important. Selecting a small number of PLS components leads to under fitting, whereas selecting...

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Bibliographic Details
Main Authors:	Silalahi, Divo Dharma, Midi, Habshah, Arasan, Jayanthi, Mustafa, Mohd Shafie, Caliman, Jean Pierre
Format:	Article
Language:	English
Published:	Multidisciplinary Digital Publishing Institute 2020
Online Access:	http://psasir.upm.edu.my/id/eprint/87995/ http://psasir.upm.edu.my/id/eprint/87995/1/ABSTRACT.pdf

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