Two nonparametric methods for multiple regression transform selection are provided.
The first, Alternative Conditional Expectations (ACE),
is an algorithm to find the fixed point of maximal
correlation, i.e. it finds a set of transformed response variables that maximizes R^2
using smoothing functions [see Breiman, L., and J.H. Friedman. 1985. "Estimating Optimal Transformations
for Multiple Regression and Correlation". Journal of the American Statistical Association.
80:580598.
Package details 


Author  Phil Spector, Jerome Friedman, Robert Tibshirani, Thomas Lumley, Shawn Garbett, Jonathan Baron 
Date of publication  20161029 00:11:52 
Maintainer  Shawn Garbett <shawn.garbett@vanderbilt.edu> 
License  MIT + file LICENSE 
Version  1.4.1 
Package repository  View on CRAN 
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