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Combining Predictive Analytics and Experimental Design to Optimize Results. To be utilized to select a test data calibrated training population in high dimensional prediction problems and assumes that the explanatory variables are observed for all of the individuals. Once a "good" training set is identified, the response variable can be obtained only for this set to build a model for predicting the response in the test set. The algorithms in the package can be tweaked to solve some other subset selection problems.
Package details 


Author  Deniz Akdemir 
Maintainer  Deniz Akdemir <deniz.akdemir.work@gmail.com> 
License  GPL3 
Version  5.2.1 
Package repository  View on CRAN 
Installation 
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