Missing data methods in PCA and PLS: Score calculations with incomplete observations-Reference-Cited by-同舟云学术

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Missing data methods in PCA and PLS: Score calculations with incomplete observations

Published:1996-11 Issue:1 Volume:35 Page:45-65
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Nelson Philip R.C.,Taylor Paul A.,MacGregor John F.

Publisher

Elsevier BV

Subject

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

Reference19 articles.

1. Development of inferential process models using PLS

2. Estimation of distillation compositions from multiple temperature measurements using partial-least-squares regression

3. Multivariate statistical monitoring of process operating performance

4. Monitoring batch processes using multiway principal component analysis

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