

def __init__(self, model, params, normalized_cov_params=None, scale=1.0):
    super(ARMAResults, self).__init__(model, params, normalized_cov_params, scale)
    self.sigma2 = model.sigma2
    nobs = model.nobs
    self.nobs = nobs
    k_exog = model.k_exog
    self.k_exog = k_exog
    k_trend = model.k_trend
    self.k_trend = k_trend
    k_ar = model.k_ar
    self.k_ar = k_ar
    self.n_totobs = len(model.endog)
    k_ma = model.k_ma
    self.k_ma = k_ma
    df_model = (((k_exog + k_trend) + k_ar) + k_ma)
    self._ic_df_model = (df_model + 1)
    self.df_model = df_model
    self.df_resid = (self.nobs - df_model)
    self._cache = resettable_cache()

dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/tsa/arima_model.py ARMAResults.__init__/original