Prof Brian Ripley wrote:

On Thu, 7 Aug 2003, orkun wrote:

[quoting me without attribution]



Those are not predicted values, they are fitted values. Try predicting on the same set of variables as you printed.



Precisely! From ?predict.glm


newdata: optionally, a new data frame from which to make the
         predictions.  If omitted, the fitted linear predictors are
         used.

[...]



If predict(glm.obj,type="resp") does not give predicted vals, How can I get predicted values ?



Try reading the help page? It is quite explicit, and has examples, as do all good books on S/R.




I tried this:
#I think since an interaction exists in glm.obj, data.frame.obj did not not work
#instead I used model.frame obj (it works)
newdata<-model.frame(glm.obj)
pr<-predict.glm(glm.obj,newdata,type="resp")
it works but there was a warning message:
prediction from a rank deficient fit may be misleading in predic.lm (....)


any suggestions ?

thank you again


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