Variable importance: Comparison of selectivity ratio and significance multivariate correlation for interpretation of latent‐variable regression models-Reference-Cited by-同舟云学术

Variable importance: Comparison of selectivity ratio and significance multivariate correlation for interpretation of latent‐variable regression models

Published:2020-04 Issue:4 Volume:34 Page:
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

Kvalheim Olav M.¹^ORCID

Affiliation:

1. Department of ChemistryUniversity of Bergen Bergen Norway

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cem.3211

Reference26 articles.

1. PLS-regression: a basic tool of chemometrics

2. History, philosophy and mathematical basis of the latent variable approach - from a peculiarity in psychology to a general method for analysis of multivariate data

3. Iterative deflation algorithm, eigenvalue equations, and PLS2

4. Variable importance in latent variable regression models

5. Biomarker discovery in mass spectral profiles by means of selectivity ratio plot

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