missing values

Hello,

I'm new to RapidMiner and perhaps I only didn't find the switch...

Is RapidMiner able to handle missing values?
i.e. can I do a linear regression or neural net learning with missing values in the input data?

To get it right: I don't want to replace the missing values.

Regards

Udo