title: How do I make a randomForest model size smaller?
body: <p>I've been training randomForest models in R on 7 million rows of data (41 features). Here's an example call:</p>
  
  <p>myModel &lt;- randomForest(RESPONSE~., data=mydata, ntree=50, maxnodes=30)</p>
  
  <p>I thought surely with only 50 trees and 30 terminal nodes that the memory footprint of "myModel" would be small. But it's 65 megs in a dump file. The object seems to be holding all sorts of predicted, actual, and vote data from the training process.</p>
  
  <p>What if I just want the forest and that's it? I want a tiny dump file that I can load later to make predictions off of quickly. I feel like the forest by itself shouldn't be all that large...</p>
  
  <p>Anyone know how to strip this sucker down to just something I can make predictions off of going forward?</p>