Use R code to solve the following. Load the data as shown below. You may have to install the alr4 package.

library("alr4")

d = Minnwater

Consider the MinnWater data set from R package alr4. (Hint: load alr4 and run data(MinnWater).) Let muniUse be the response and all other variables the regressors 4. Fit a ridge regression model (using standardized variables) and use the generalized cross-validation leave-one-out index to select the optimal . 5. Estimate the standard errors for the coefficients estimated in (4) and compare the values to the ordinary least squares standard errors. Note use the usual least squares estimator for 2 in your computation Hint: You need to use matrix operations.) Consider the MinnWater data set from R package alr4. (Hint: load alr4 and run data(MinnWater).) Let muniUse be the response and all other variables the regressors 4. Fit a ridge regression model (using standardized variables) and use the generalized cross-validation leave-one-out index to select the optimal . 5. Estimate the standard errors for the coefficients estimated in (4) and compare the values to the ordinary least squares standard errors. Note use the usual least squares estimator for 2 in your computation Hint: You need to use matrix operations.)