'Experimental summary function for regression results
Parameters
xname : List of strings of length equal to the number of parameters
Names of the independent variables (optional)
yname : string
Name of the dependent variable (optional)
title : string, optional
Title for the top table. If not None, then this replaces the
default title
alpha : float
significance level for the confidence intervals
float_format: string
print format for floats in parameters summary
Returns
smry : Summary instance
this holds the summary tables and text, which can be printed or
converted to various output formats.
See Also
statsmodels.iolib.summary.Summary : class to hold summary
results'

def summary2(self, xname=None, yname=None, title=None, alpha=0.05, float_format='%.4f'):

    from statsmodels.iolib import summary2
    smry = summary2.Summary()
    smry.add_base(results=self, alpha=alpha, float_format=float_format, xname=xname, yname=yname, title=title)
    return smry
