Question

True, False)    5. Both PCA and PLS provide new variables (called components) that are linearly weighted sums of the original variables.

Answer 1

True: Both PCA and PLS..........................................................original variables.

Explanation: Both PCA and PLS are used as data reduction techniques.These methods are utilizes when large number of highly correlated predictor variables in the data set.Both methods construct new predictor variables ,known as component , which are linear combination of original predictors.The diffrence between PCA and PLS is ,PCA does not consider response variable during calculation whereas PLS does consider respnose variable.