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Volumn 13, Issue 1, 1999, Pages 49-65
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A statistical framework for multivariate latent variable regression methods based on maximum likelihood
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Author keywords
Canonical co ordinate regression; Continuum regression; Latent variable models; Maximum likelihood; Multivariate regression; Partial least squares; Principal component regression; Reduced rank regression; SIMPLS
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Indexed keywords
LEAST SQUARES APPROXIMATIONS;
MAXIMUM LIKELIHOOD ESTIMATION;
PRINCIPAL COMPONENT ANALYSIS;
REGRESSION ANALYSIS;
CANONICAL CO-ORDINATE REGRESSION;
CONTINUUM REGRESSION;
LATENT VARIABLE MODELING;
MA XIMUM LIKELIHOODS;
MAXIMUM-LIKELIHOOD;
MULTIVARIATE REGRESSION;
PARTIAL LEAST-SQUARES;
PRINCIPAL COMPONENT REGRESSION;
PRINCIPAL COMPONENTS;
REDUCED RANK REGRESSION;
SIMPLS;
RANDOM ERRORS;
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EID: 0002557296
PISSN: 08869383
EISSN: None
Source Type: Journal
DOI: 10.1002/(SICI)1099-128X(199901/02)13:1<49::AID-CEM531>3.0.CO;2-K Document Type: Article |
Times cited : (30)
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References (21)
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