Development of robust procedures for partial least square regression with application to near infrared spectral data

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Development of robust procedures for partial least square regression with application to near infrared spectral data

The Partial Least Square Regression (PLSR) is a multivariate method commonly used to build a predictive model of Near Infrared (NIR) spectral data. Based on our experience, several weaknesses of the PLSR have been identified with respect to its robustness issues in the pre-processing and inproces...

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Bibliographic Details
Main Author:	Silalahi, Divo Dharma
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Regression analysis Least squares
Online Access:	http://psasir.upm.edu.my/id/eprint/98710/ http://psasir.upm.edu.my/id/eprint/98710/1/IPM%202021%208%20-%20IR.pdf

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