code: def test_exog_1D_array(model):
      mod = model.from_formula(
          "Histamine0 + Histamine1 + Histamine3 + Histamine5 ~ 0 + Depleted",
          data,
      )
      r = mod.fit(method="svd")
      r0 = r.mv_test()
      a = [
          [0.0019, 8.0000, 20.0000, 55.0013, 0.0000],
          [1.8112, 8.0000, 22.0000, 26.3796, 0.0000],
          [97.8858, 8.0000, 12.1818, 117.1133, 0.0000],
          [93.2742, 4.0000, 11.0000, 256.5041, 0.0000],
      ]
      assert_array_almost_equal(
          r0["Depleted"]["stat"].values, a, decimal=4
      )
  
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 7 for calling a global function with example usage: test_exog_1D_array(model) without return types