is it possible to get other values (currently I know only a way to get beta and intercept) from the summary of linear regression in pandas? I need to get R-squared.
Here is an extraction from manual:

```
In [244]: model = ols(y=rets['AAPL'], x=rets.ix[:, ['GOOG']])

In [245]: model
Out[245]: 
-------------------------Summary of Regression Analysis---------------------   ----
Formula: Y ~ <GOOG> + <intercept>
Number of Observations:         756
Number of Degrees of Freedom:   2
R-squared:         0.2814
Adj R-squared:     0.2805
Rmse:              0.0147
F-stat (1, 754):   295.2873, p-value:     0.0000
Degrees of Freedom: model 1, resid 754
-----------------------Summary of Estimated Coefficients------------------------
      Variable       Coef    Std Err     t-stat    p-value    CI 2.5%   CI 97.5%
--------------------------------------------------------------------------------
      GOOG     0.5442     0.0317      17.18     0.0000     0.4822     0.6063
 intercept     0.0011     0.0005       2.14     0.0327     0.0001     0.0022
---------------------------------End of Summary---------------------------------

```

Thanks