All Subsets Regression
All Subsets Regression is a variable selection method that systematically evaluates every possible combination of predictor variables in a regression model to identify the subset that optimally balances model fit and complexity according to a specified criterion.
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111
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74
Institutions
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2017–2026
9
Variants
All-possible-subsets Regression
Parents
44
Tools to Support Interpreting Multiple Regression in the Face of Multicollinearity
Amanda Kraha, Heather Turner, Kim Nimon et al. · Frontiers in Psychology · 2012 · 365 citations · Full text
Selection of subsets of regression variables
Alan J. Miller · 1984 · 356 citations
Inflation of R <sup>2</sup> in Best Subset Regression
Alvin C. Rencher, Fu Ceayong Pun · Technometrics · 1980 · 161 citations
Comparing Subset Regression Procedures
Kenneth N. Berk · Technometrics · 1978 · 119 citations
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University of Waterloo
Waterloo, Canada
4 h-index
8 publications
332 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
5 publications
303 citations
Illinois State University
Normal, United States
3 h-index
4 publications
226 citations

University of North Texas
Denton, United States
2 h-index
5 publications
1.8K citations

The University of Western Australia
Perth, Australia
2 h-index
2 publications
127 citations
Texas A&M University
College Station, United States
2 h-index
3 publications
120 citations

University of Neuchâtel
Neuchâtel, Switzerland
2 h-index
4 publications
188 citations
Yale University
New Haven, United States
2 h-index
2 publications
125 citations
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8 publications · 635 citations
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CSDA · 2 publications · 77 citations
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2 publications · 44 citations
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2 publications · 39 citations
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1 publications · 118 citations
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