Additional results of PCA

PCA models in R produce additional diagnostic and output components:

• center: the column means used to center to the data, or FALSE if the data weren't centered
• scale: the column standard deviations used to scale the data, or FALSE if the data weren't scaled
• rotation: the directions of the principal component vectors in terms of the original features/variables. This information allows you to define new data in terms of the original principal components
• x: the value of each observation in the original dataset projected to the principal components

You can access these the same as other model components. For example, use pr.out$rotation to access the rotation component.

Which of the following statements is not correct regarding the pr.out model fit on the pokemon data?