code: def setup_class(cls):
      nobs = 1000
      np.random.seed(987689)
      x = np.random.randn(nobs, 3)
      x = sm.add_constant(x)
      cls.exog = x
      cls.xf = 0.25 * np.ones((2, 4))
      cls.predict_kwds = {}
      cls.reduction_factor = 0.1
  
imports: from statsmodels.compat.pandas import assert_series_equal
  from io import BytesIO
  import pickle
  import numpy
  import pandas
  import statsmodels.api
label_desc: Use image node_id 1 for calling the RemoveDataPickle obj's underlying member method code with example usage: obj.setup_class(cls) without return types