Select the following statements about PCA that are true $($choose all that apply$).$

PCA is a preprocessing approach

PCA can be used to decorrelate features.

PCA utilizes the eigenvectors and eigenvalues of the data covariance matrix

PCA can be used to project the data into a lower dimensional coordinate space while retaining most of the variation in the data.