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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