code: def setup_class(cls):
      formula2 = (
          "locus_of_control + self_concept + motivation ~ "
          "read + write + science + prog"
      )
      mod = MultivariateLS.from_formula(formula2, data=data_mvreg)
      cls.res = mod.fit()
  
imports: import os.path
  import numpy
  import pandas
  import pytest
  from statsmodels.regression.linear_model import OLS
  from statsmodels.multivariate.multivariate_ols import _MultivariateOLS, MultivariateLS
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_raises
  import patsy
label_desc: Use image node_id 1 for calling the TestMultivariateLS obj's underlying member method code with example usage: obj.setup_class(cls) without return types