A model‐based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients

DOI10.1111/bmsp.12301zbMath1529.62078MaRDI QIDQ6185854

Fei Gu, Mike W.-L. Cheung

Publication date: 30 January 2024

Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)

zbMATH Keywords

standard error estimateprincipal component regressionexplanatory powermean and covariance structure model

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

Cites Work

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• Principal component analysis.
• Principal component regression revisited
• Asymptotically distribution‐free methods for the analysis of covariance structures
• Hands-On Machine Learning with R

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