Hi i am running a glm model family Gamma(link=log) trying to predict a vector of 1554 (real) values
Using predict() i got a vector of 950 predicted values instead of 1554. The predictions are good though The model doesnt take account of negative values and NAs which are only 121 values. Any clue? Thank -- View this message in context: http://r.789695.n4.nabble.com/Why-predicted-values-are-fewer-that-the-real-tp4438912p4438912.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
