The variables of an imported data belong to one of two blocks referred to as X and Y. X is a matrix that comprises the predictor variables that are used for predicting the response or predicted variables of matrix Y. Principal Component Analysis (PCA) is an unsupervised modeling using only the X matrix. Partial Least Squares (PLS) regression, on the other hand, uses both X and Y.

X and Y variables are shown in the DataSet table in the variable view.