In reply to SR.

Suppose you have n observations and k variables. A PC is a linear combination of the original variables, so it is a vector that has n elements. You can therefore compute the correlation between the PC and each original variable. The Component Plot shows those correlations for each PC.

The eigenvectors are vectors that have only k elements, so you can never compute the correlation between an eigenvector and an original variable.