Statistical Science · 1987 · 254 citations · 16 references
BusinessBiostatisticsStatistical ModelingRegressionErrors-in-variables RegressionMulticollinearity DiagnosticsRegression DiagnosticsStatistical Significance Testing
In this paper we introduce certain numbers, called collinearity indices, which are useful in detecting near collinearities in regression problems. The coefficients enter adversely into formulas concerning significance testing and the effects of errors in the regression variables. Thus they provide simple regression diagnostics, suitable for incorporation in regression packages.
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The Approximation of One Matrix by Another of Lower Rank
Carl Eckart, Gale Young · Psychometrika · 1936 · 3.8K citations
Rounding errors in algebraic processes
Journal of the Franklin Institute · 1964 · 1.3K citations
SYMMETRIC GAUGE FUNCTIONS AND UNITARILY INVARIANT NORMS
L. Mirsky · The Quarterly Journal of Mathematics · 1960 · 626 citations · Full text