Actually, the loadings are quite different from the coefficients. The
loadings are simply correlations of the original values to the scores for a
PCA factor. The coefficients, on the other hand, allow one to compute the
scores. There is a coefficient for each variable. The coefficient is
multip
I am relatively new to R and I would appreciate some advice on how to include
both discrete and continuous predictor variables in a stepwise backward log
likelihood ration logistic regression. I have a model that includes 3
continuous predictor variables (soilmois, grasscov, and ranvar) and one
dis
2 matches
Mail list logo