You can assume completeness.  That being said you are more than welcome to implement a listwise deletion default if you are interested.  The relevant helpful command is na.omit()<div><br></div><div>Brandon<br><br><div class="gmail_quote">
On Sat, Jan 29, 2011 at 5:18 PM, Colin Sullivan <span dir="ltr">&lt;<a href="mailto:cdsulliv@gmail.com">cdsulliv@gmail.com</a>&gt;</span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
For Question 2.1, do we need to make our OLS functions robust to missing data in the inputs?  Or can we just assume that the dependent variable vector and the explanatory variable matrix will be complete?<div><br></div><div>

Thanks,</div><div>Colin</div>
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