Hi, I have a question about predicting new values from a fitted model in R.
For example, if i fit a linear model
fit<-lm(y~x)
predict(fit) will give the fitted values for each x.
I am wondering if there is a way to do some prediction of the fitted for
some new values of x that are not in the data points?
for example, x=0.5 is not in the original data (not a datapoint), is there a
way to predict the fitted value corresponding to x=0.5 easily?
Thank you!
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