Using: library(AmesHousing)

ames <- make_ames()

Using dataset: (Ames Housing).

The objective is to predict the Ames houses' price given the dataset's corresponding set of attributes. Your group task is to develop the following:

1. Prepare and clean your data to run MLR models.

2. As shown in the exemplary documentation, run the three data partitions' approaches (the method 100 %, the RSME for a single-partition, and RMSE for training k-fold = 10) and run only significant main effects (no interactions). Develop the importance classification display with the package vip (as shown in the exemplary document) for the first five most important.

Can you help walk me through this using RStudio? I truly want to know how to do this