code: def aicc(self):
      aic = np.log(self.mse_resid) + 1
      eff_dof = self.nobs - self.hatmatrix_trace() - 2
      if eff_dof > 0:
          adj = 2 * (1.0 + self.hatmatrix_trace()) / eff_dof
      else:
          adj = np.inf
      return aic + adj
  
imports: from statsmodels.compat.python import lrange
  import numpy
  from statsmodels.tools.decorators import cache_readonly
  from statsmodels.regression.linear_model import OLS, GLS, RegressionResults
  from statsmodels.regression.feasible_gls import atleast_2dcols
label_desc: Use image node_id 6 for calling the TheilRegressionResults obj's underlying member method code with example usage: obj.aicc() and returns: unknown