Write your own function for conducting $10-$fold cross$-$validation to assess the test error in a linear regression model predicting estimated performance in the cpus dataset from R package MASS, using only minimum main memory and maximum main memory as predictors. DO NOT worry about including interaction effects, or higher$-$order effects. Just a main effect for each variable will be sufficient. You need to show how to use the createFolds$()$ function $($creates the folds for you$)$ from the R package caret, as explained in Module $11.$