code: def setup_class(cls):
      cls.skip_inference = True
      y, x = cls.get_sample()
      xd = np.column_stack((x, x))
      # sp = np.zeros(5), np.ones(5)
      r_matrix = np.eye(5, 10, 5)
      mod1 = TheilGLS(
          y, xd, r_matrix=r_matrix
      )  # sigma_prior=[0, 0, 1., 1.])
      cls.res1 = mod1.fit(0.001, cov_type="data-prior")
      cls.res2 = OLS(y, x).fit()
  
imports: import os
  import numpy
  import pandas
  import pytest
  from numpy.testing import assert_allclose
  from statsmodels.regression.linear_model import OLS, GLS
  from statsmodels.sandbox.regression.penalized import TheilGLS
label_desc: Use image node_id 1 for calling the TestTheil3 obj's underlying member method code with example usage: obj.setup_class(cls) without return types