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.?