First, package the new values of your predictor variables into a data frame:
data.frame(VAR1=8, VAR2=64)
Then, use the predict() method to apply the model to the predictor values:
predict(model, newdata=data.frame(VAR1=8, VAR2=64))
Finally, tell the predict() method that these are new observations, not
original observations, and you want the confidence interval of the
prediction:
predict(model, newdata=data.frame(VAR1=8, VAR2=64), interval="pred",
level=0.95)
That should print the fitted value for OUTCOME, the lower bound, and the
upper bound.
To see the standard error, include "predict(..., st.fit=TRUE)" in your call
to predict().
Hope that helps.
Paul
Paul Teetor
Elgin, IL USA
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