Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR-Reference-Cited by-同舟云学术

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Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR

Published:2005-01 Issue:1 Volume:48 Page:103-123
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Martens Harald,Anderssen Endre,Flatberg Arnar,Gidskehaug Lars Halvor,Høy Martin,Westad Frank,Thybo Anette,Martens Magni

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference14 articles.

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2. Elden, L., 2004. Partial least-squares vs. Lanczos bidiagonalization I: analysis of a projection method for multiple regression, Comput. Statist. Data Anal., in press; doi: 10.1016/S0167-9473(03)00138-5

3. PLS regression methods;Höskuldsson;J. Chemometrics,1988

4. Causal and path modelling;Höskuldsson;Chemometrics Intell. Lab. Systems,2001

5. Gender specific preferences and attitudes towards meat;Kubberød;Food Qual. Preference,2002

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