This seems to be unneeded for exog, so I took it out.


On Sat, Mar 22, 2014 at 3:58 AM, Josef Perktold <notifications@github.com>wrote:

> In statsmodels/regression/lme.py:
>
> > +            A vector of labels determining the groups -- data from
> > +            different groups are independent
> > +        exog_re : 2d array-like
> > +            A matrix of independent variables used to determine the
> > +            variance structure.  If None, defaults to a random
> > +            intercept for each of the groups.  May be set from
> > +            a formula using a call to `set_random`.
> > +        missing : string
> > +            The approach to missing data handling
> > +        """
> > +
> > +        groups = np.asarray(groups)
> > +
> > +        # If there is one covariate, it may be passed in as a column
> > +        # vector, convert these to 2d arrays.
> > +        if exog.ndim == 1:
>
> exog might be handled by super
> but I don't remember what the inherited behavior for extra arrays is, that
> shouldn't include conversion to 2d column
>
> (reminder also to myself)
>
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