code: def test_mixeddata_CV_LS(self):
      dens_ls = nparam.KDEMultivariateConditional(
          endog=[self.Italy_gdp],
          exog=[self.Italy_year],
          dep_type="c",
          indep_type="o",
          bw="cv_ls",
      )
      # R result: [1.6448, 0.2317373]
      npt.assert_allclose(
          dens_ls.bw, [1.01203728, 0.31905144], atol=1e-5
      )
  
imports: import numpy
  import numpy.testing
  import pytest
  from numpy.testing import assert_allclose, assert_equal
  import statsmodels.api
label_desc: Use image node_id 1 for calling the TestKDEMultivariateConditional obj's underlying member method code with example usage: obj.test_mixeddata_CV_LS() without return types