Dear all,

The variable selection in regression is usually determined by the training data 
using AIC or F value, such as stepAIC. Is there some R package that can 
consider both the training and test dataset? For example, I have two separate 
training data and test data. Firstly, a regression model is obtained by using 
training data, and then this model is tested by using test data. This process 
continues in order to find some possible optimal models in terms of RMSE or R2 
for both training and test data. 

Thanks,

Jim

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