Regularized regression with R package: glmnet

Learning goals:

• Difference between ridge regression and lasso regression;
• How to choose the optimal lambda value based on cross-validated error;
• How to get coefficient of the best model?
• How to split your data into training and test datasets?
• How to compare rige regression and lasso regression based on RSS.