如何将OLS回归结果fstatistic和Rsquared存储到lis

Question

如何在列表中分配OLS回归结果F-statsistic和R-squared？例如：

ols('x ~ a + b + c', data).fit()
ols_model.summary()

OLS Regression Results
Dep. Variable:  x         R-squared:    0.901
Model:  OLS               Adj. R-squared:   0.799
Method: Least Squares     F-statistic:  598.1
Date:   Thu, 08 jan 2013  Prob (F-statistic):   0.01
Time:   09:07:22          Log-Likelihood:   280.00
No. Observations:   110   AIC:  -910.0
Df Residuals:       250   BIC:  -910.1
Df Model:           3       
Covariance Type:    robust  

我可以将输出存储在这样一个变量中

^{pr2}$

但是下面的代码什么都没有：

df['x'] = x

type(x)给出numpy.float64btw

希望有人能帮忙！谢谢。在