A Proposition of Generalized Method for Forward Selection of Variables (original) (raw)
Abstract
We propose a generalized method of variable selection, which is applied for the case, in which the number of the criterion variables exceeds two. By using the method, we can select criterion variables as well as explanatory variables simultaneously in canonical correlation analysis, using the G.C.D Generalized Coefficient of Determination as a maximization criterion. Furthermore, the generalized method of variable selection can be applied to factor analysis, in which case forward selection method is also performed to real variables, with the number of latent factor variables as fixed. Finally, we show two numerical examples demonstrating the validity of our procedure.
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Authors and Affiliations
- Dept. of Psychology, Chiba University, Yayoi-cho, Chiba-shi, Chiba, 260, Japan
Haruo Yanai
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Yanai, H. A Proposition of Generalized Method for Forward Selection of Variables.Behaviormetrika 7, 95–107 (1980). https://doi.org/10.2333/bhmk.7.7\_95
- Received: 15 December 1979
- Published: 01 January 1980
- Issue date: January 1980
- DOI: https://doi.org/10.2333/bhmk.7.7\_95