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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