Question: what is the difference between principal component analysis and 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. ... Use principal components analysis to reduce the data into a smaller number of components.