Starting from a linear `model1 = lm(temp~alt+sdist)` i need to develop a prediction model, where new data will come in hand  and predictions about `temp` will be made.

I have tried doing something like this:

`model2 = predict.lm(model1, newdata=newdataset)`

However, i am not sure this is the right way. What i would like to know here is, if this is the right way to go in order to make prediction about `temp`. Also i am a bit confused when it comes to the `newdataset`. Which values should be filled in etc.?