Dear all, I would like to use predict.lm to obtain a set of predicted values based on a regression model I estimated.
When I apply predict.lm to two vectors that have the same values, the predicted values will be identical. I know that my regression model is not perfect and I would like to take account of the error inherent in the model within my predictions. So, while I understand that the expected value of both vectors should be the same (since they have the same value), I would like to have different predictions to take account of the error inherent in my model. I assume I can probably use se.fit to achieve my objective of including "random error" in my predictions but I don't really know how. Could anybody give me a pointer on how this can be done? Thanks, Michael [[alternative HTML version deleted]] ______________________________________________ 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.