How to handle missing values in

Is there a way to use without completely removing rows with missing data using R?

Is there a way for to leave out one piece of missing data but compare the rest? I've tried all of the na.actions and can't seem to find one that works.

Any help is appreciated.



Less is more. Stay pure. Stay poor.
Is that an R package looking at fit of linear models?

Well if the model casewise deleted those observations, then they shouldn't be examined, right?