I'm trying to fit a linear regression on a Poisson like outcome (lots of 0's and 1's and other integers) and currently trying to create
log(y). However, R will return a list of numbers with lots of
-Inf (log(0) = -inf).
I'm wondering how would make this model work by transforming the outcome variable (i.e. how other Poisson outcome linear regression models were fit)?
Please don't tell me that I should use a Poisson regression since I am. I'm trying to fit different models on the data and finding out which model performs the best.