Please show the code in R so I can compare what I have. Especially show me how to define acrePrice. I did a head

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MinnLand

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$,$

$$ acrePrice is DEFINETELY in the data set.

Here's the problem

In the MinnLand dataset in the alr$4$ package, fit two possible models with log$($acrePrice$)$ or sqrt$($acrePrice$)$ as the response, use year as a factor as well. We want to revisit the setting where we need to better understand land prices and the drivers. Use methods we$$ve learned to develop two possible candidate models and compare them using

$5$ Fold Cross Validation

$10$ Fold Cross Validation

Random Splitting with $1000$ splits.

Note you should use parallel computing where you can$/$need$,$ and function writing where you can$/$need because there are $18,700$ observations. Before starting this analysis remove ALL NA's from the data using na$.$omit$($MinnLand$).$ In each of the above cases comment on the model you would select to present as your final model based on prediction accuracy. Give any insights it may have on the land prices in Minnesota over this time frame.

AcrePrice is still coming up undefined.