Dimensionality reduction approach to multivariate prediction

DOI10.2307/3316072zbMath0974.62053OpenAlexW2101872957MaRDI QIDQ5890351

Bovas Abraham, Giovanni Maria Merola

Publication date: 16 December 2001

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3316072

zbMATH Keywords

predictionpartial least squaresmaximum likelihoodreduced rank regressionprincipal components regressionweighted maximum overall redundancy

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)

Related Items (3)

Dimensionality reduction approach to multivariate prediction ⋮ A procedure for the clustering of cell wall mutants in the model plant Arabidopsis based on Fourier-transform infrared (FT-IR) spectroscopy ⋮ Multilevel dimensionality-reduction methods

Cites Work

• Reduced-rank regression for the multivariate linear model
• The geometry of 2-block partial least squares regression
• On the structure of partial least squares regression
• Unnamed Item

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