Interpretation of partial least-squares regression models with VARIMAX rotation

DOI10.1016/j.csda.2003.12.005zbMath1429.62301OpenAlexW2077742282MaRDI QIDQ957103

Yongping Tu, Qiang Liu, Hui-Wen Wang

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2003.12.005

zbMATH Keywords

factor analysispartial least-squares regressionfactor subspaceVARIMAX rotation

Mathematics Subject Classification ID

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

Related Items (1)

Probabilistic partial least squares model: identifiability, estimation and application

Cites Work

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• Partial least-squares vs. Lanczos bidiagonalization. I: Analysis of a projection method for multiple regression
• On partial least squares dimension reduction for microarray-based classification: a simulation study
• The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses

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