Need help for model selection in R. (best subset, forward stepwise, backward stepwise)

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Опис проекту

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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