PLS1-MD: A partial least squares regression algorithm for solving missing data problems-Reference-Cited by-同舟云学术

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PLS1-MD: A partial least squares regression algorithm for solving missing data problems

Published:2023-09 Issue: Volume:240 Page:104876
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

González Víctor,Giraldo Ramón,Leiva Víctor^ORCID

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference36 articles.

1. La Régression PLS: Théorie Et Pratique;Tenenhaus,1998

2. Estimation of principal component and related models by iterative least squares;Wold,1966

3. A comparison of nine PLS1 algorithms;Andersson;J. Chemometr.,2009

4. SIMPLS: An alternative approach to partial least squares regression;de Jong;Chemometr. Intell. Lab. Syst.,1992

5. Selecting both latent and explanatory variables in the PLS1 regression model;Lazraq;Chemometr. Intell. Lab. Syst.,2003

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