Avoid filterNaN error if there is no NaN

I have various data sets I'm performing some analysis on. Sometimes they have blanks, sometimes not.  I can easily filter out the blanks with filterNaN.  The problem is if there are no blanks the filterNaN errors out.  So, I have to rewrite the statements for each column as to whether I need to filter or not.  I'd like one command that works whether I have blanks or not. What are my options?  Here's a simple example:

Here, I want to return B = [1 2 3 4 5]^T

Prime 3.1 (and is this a bug?)

Thanks,