Question: what are the main differences between a principal component analysis and a factor analysis?
Answer: In factor analysis, the original variables are defined as linear combinations of the factors. In principal components analysis, the goal is to explain as much of the total variance in the variables as possible. The goal in factor analysis is to explain the covariances or correlations between the variables.