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

Computational Statistics and Data Analysis

Volumn 48, Issue 1, 2005, Pages 103-123

  Martens, Harald ^a,b,c   Anderssen, Endre ^b   Flatberg, Arnar ^b   Gidskehaug, Lars Halvor ^b   Høy, Martin ^b   Westad, Frank ^c   Thybo, Anette ^d   Martens, Magni ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^c NORWEGIAN FOOD RESEARCH INSTITUTE   (Norway)

^d DANISH INSTITUTE OF AGRICULTURAL SCIENCES   (Denmark)

Author keywords

Bi linear model; Bookstein; Eigenvector; L PLSR; Latent variables; Multivariate; Partial least squares; PLS; PLSR; Regression; Singular value decomposition; SVD; Three block

Indexed keywords

DATA REDUCTION; EIGENVALUES AND EIGENFUNCTIONS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MULTIVARIABLE SYSTEMS; REGRESSION ANALYSIS;

BOOKSTEIN; DATA MATRICES; L-PLS; LATENT VARIABLES; PARTIAL LEAST SQUARES (PLS); SINGULAR VALUE DECOMPOSITION (SVD);

DATA STRUCTURES;

EID: 10144235517     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2003.10.004     Document Type: Article

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