I thought the rule of thumb was that you should use no more than 1 predictor variable for every 10 observations. For example, no more than 5 predictors where N=50.

I have to defend my model to the reviewer. Does anyone know of a book or article I can reference regarding the appropriate number of predictors to use relative to sample size??

Thanks!!