Understanding Canonical Correlation through the General Linear Model and Principal Components

DOI10.2307/2683082zbMath0533.62053OpenAlexW4243300162MaRDI QIDQ3316403

Keith E. Muller

Publication date: 1982

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2683082

zbMATH Keywords

principal componentscanonical correlationgeneral linear modelcomponent matchingless than full rank regressionregression on component scores

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (4)

Eta, disco, odisco, and F ⋮ Development of a canonical correlation model involving non linearity and asymmetric variables ⋮ Using regression makes extraction of shared variation in multiple datasets easy ⋮ Hierarchical clustering of variables: a comparison among strategies of analysis

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