Polynomial Principal Component Regression: An approach to Analysis and Interpretation of Complex Mixture Relationships in Multivariate Environmental Data-Reference-Cited by-同舟云学术

Polynomial Principal Component Regression: An approach to Analysis and Interpretation of Complex Mixture Relationships in Multivariate Environmental Data

Published:1989-12 Issue:1-2 Volume:7 Page:119-130
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Vogt N.B.

Publisher

Elsevier BV

Subject

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

Reference30 articles.

1. Multivariate data analysis in chemistry;Wold,1983

2. Composition-activity relationships — an approach to analysis and interpretation of complex mixture exposure and effects (collection of three articles);Vogt,1989

3. Composition-activity relationships — an approach to analysis and interpretation of complex mixture exposure and effects (collection of three articles);Vogt,1989

4. Composition-activity relationships — an approach to analysis and interpretation of complex mixture exposure and effects (collection of three articles);Vogt,1989

5. Composition-activity relationships — an approach to analysis and interpretation of complex mixture exposure and effects (collection of three articles);Vogt;Chemometrics and Intelligent Laboratory Systems,1989

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