Which technique combines a PCA-based factor analytic approach with a least squares based regression approach?
A)partial least squares (PLS)
B)multidimensional scaling
C)partial correlations
D)discriminant analysis

Question

Quizplus · Accepted Answer

PLS combines the factor analytic approach of PCA with the regression approach of least squares to extract latent variables that explain the most variance in both the predictor and response variables. PLS is particularly useful for predicting outcomes when there are many predictor variables and relatively few observations, and when there may be high correlations among the predictor variables.

Which Technique Combines a PCA-Based Factor Analytic Approach with a Least