top | item 16833773 (no title) cocoablazing | 8 years ago You can, but why trash information that is present when you can leverage it with a different approach? discuss order hn newest MichailP|8 years ago Like PCA? But that way you loose physical meaning of the predictors. closed|7 years ago PCA is a special case of factor analysis, so you are representing them as observations of a latent variable (which is often a narrative people use when explaining why two x variables are correlated)
MichailP|8 years ago Like PCA? But that way you loose physical meaning of the predictors. closed|7 years ago PCA is a special case of factor analysis, so you are representing them as observations of a latent variable (which is often a narrative people use when explaining why two x variables are correlated)
closed|7 years ago PCA is a special case of factor analysis, so you are representing them as observations of a latent variable (which is often a narrative people use when explaining why two x variables are correlated)
MichailP|8 years ago
closed|7 years ago