would it be acceptable to disregard the categorical data when conduction the PCA.
the results of using the categorical data are good, and are extremely accureate,
but im sure thats do to overfitting and not really a true representation of a
trained model. so would it be acceptale to remove these categorical values and
conduct the PCA with just a selected set of continuous attributes.