  When it comes to datasets with a tremendous amount of predictors, variable
reduction techniques such as PCA or FA are often used. In this paper, the
elastic net, which lies in between the LASSO method and ridge regression, is
used as a variable reduction technique followed by further analysis with
multivariate regression. Specifically, a messy only dataset is used to show how
it can be 'tidied' up and broken down into sensible subsets using the
aforementioned method.
