是否有可能从熊猫的线性回归总结中得到其他值(目前我只知道获得beta和拦截的方法)？我需要得到R平方.这是从手册中提取的:
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 …