The geometry of enhancement in multiple regression

DOI10.1007/s11336-011-9220-xzbMath1231.62133OpenAlexW2074420019WikidataQ51528066 ScholiaQ51528066MaRDI QIDQ658143

Niels G. Waller

Publication date: 11 January 2012

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-011-9220-x

zbMATH Keywords

suppressionsuppressor variable

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Linear regression; mixed models (62J05) Eigenvalues, singular values, and eigenvectors (15A18)

Related Items

The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior ⋮ A short history of statistical association: from correlation to correspondence analysis to copulas

Uses Software

• R
• relaimpo

Cites Work

• Correlation weights in multiple regression
• The persistence in volatility of the US term premium 1970--1986
• Generating Correlation Matrices
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