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

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