Make sure you have below five packages installed in your RStudio, and then

library the five packages.

$$ AppliedPredictiveModeling

$$ caret

$$ e$1071$

$$ corrplot

$$ FactoMineR

b$.$ Import cereal.xlsx to RStudio,

c$.$ Convert the imported cereal to data frame. Code hint: cereal $<-$ data.frame$($cereal$)$

d$.$ Use str$($cereal$)$ to check the data structure. There is a total of $10$ columns, where

the first column is the popularity level $($outcome$),$ while columns $2-10$ are the

nutrition facts $($predictors$).$