Hi, 

Im using the lm() function where the formula is quite big (300 arguments) and the data is a frame of 3000 values. 

This is running in a loop where in each step the formula is reduced by one argument, and the lm command is called again (to check which arguments are useful) . 

This takes 1-2 minutes. 
Is there a way to speed this up? 
i checked the code of the lm function and its seems that its preparing the data and then calls lm.Fit(). i thought about just doing this praparing stuff first and only call lm.fit() 300 times. 
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