The documentation for rpy2 states that the robjects.r object gives access to an R global environment. Is there a way to "refresh" this global environment to its initial state?

I would like to be able to restore the global environment to the state it was in when the rpy2.robjects module was imported but not yet used. In this manner, I don't have to worry about memory leaks on long running jobs or other unexpected side effects. Yes, refreshing the environment could introduce a different category of bug, but I believe in my case it will be a win.