When working with caret, how can I save a model after training, and load it later (e.g. in a different session) for prediction?
The following code assumes that your model's variable name is 'model':
save(model, "model.RData")
This will save your model as "model.RData" in the current working directory. You can find out what the working directory is by issuing the following:
getwd()
To load it back in, ensure that your model is saved in your working directory and issue:
load("model.RData")