Finding Transformations for Regression Using the ACE Algorithm
- 1 November 1989
- journal article
- research article
- Published by SAGE Publications in Sociological Methods & Research
- Vol. 18 (2-3) , 327-359
- https://doi.org/10.1177/0049124189018002005
Abstract
The ACE algorithm of Breiman and Friedman (1985) estimates the transformations giving rise to the maximal multiple correlation of a response and a set of predictor variables. A study of these transformations can give the data analyst insight into the relationships between these variables. Using the methodology of Box and Cox (1964), we show how to find familiar closed form approximations for the optimal ACE transformations. This can lead to substantially improved empirical models for social phenomena.Keywords
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