Need help for model selection in R. (best subset, forward stepwise, backward stepwise)
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Project Budget$30 - $250 USD
Completed In3 days
I have a data set that contain 8 predictors and more than 15k observations for each predictor. I need some one can do a model selection process. And chose among models using the validation set approach and cross-validation.
I tried to run the model selection code but it seems it require a lot of memory and didn't work. (or maybe I did wrong)
Please have knowledge about statistical learning and how to use R before bidding. (and maybe 32GB ram and above is needed)
Data set is attached.
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