code: def test_smoke_plot_and_repr(self, close_figures):
      pc = PCA(self.x)
      fig = pc.plot_scree()
      fig = pc.plot_scree(ncomp=10)
      fig = pc.plot_scree(log_scale=False)
      fig = pc.plot_scree(cumulative=True)
      fig = pc.plot_rsquare()
      fig = pc.plot_rsquare(ncomp=5)
      # Additional smoke test
      pc.__repr__()
      pc = PCA(self.x, standardize=False)
      pc.__repr__()
      pc = PCA(self.x, standardize=False, demean=False)
      pc.__repr__()
      pc = PCA(self.x, ncomp=2, gls=True)
      assert "GLS" in pc.__repr__()
      # Check data for no changes
      assert_equal(self.x, pc.data)
  
imports: from statsmodels.compat.platform import PLATFORM_WIN32
  import warnings
  import numpy
  import pandas
  import pytest
  from numpy.testing import assert_allclose, assert_equal, assert_raises
  from statsmodels.multivariate.pca import PCA, pca
  from statsmodels.multivariate.tests.results.datamlw import data, princomp1, princomp2
  from statsmodels.tools.sm_exceptions import EstimationWarning
label_desc: Use image node_id 2 for calling the TestPCA obj's underlying member method code with example usage: obj.test_smoke_plot_and_repr(close_figures) without return types