docstr: Plot the cointegration residuals.
  
  Parameters
  ----------
  axes : Axes, default None
      matplotlib axes instance to hold the figure.
  title : str, default None
      Title for the figure.
  
  Returns
  -------
  Figure
      The matplotlib Figure instance.
docstr_tok: ["Plot","the","cointegration","residuals",".","Parameters","--","--","--","--","--","axes",":","Axes",",","default","None","matplotlib","axes","instance","to","hold","the","figure",".","title",":","str",",","default","None","Title","for","the","figure",".","Returns","--","--","--","-","Figure","The","matplotlib","Figure","instance","."]
code: def plot(
      self, axes: plt.Axes | None = None, title: str | None = None
  ) -> plt.Figure:
      """
      Plot the cointegration residuals.
  
      Parameters
      ----------
      axes : Axes, default None
          matplotlib axes instance to hold the figure.
      title : str, default None
          Title for the figure.
  
      Returns
      -------
      Figure
          The matplotlib Figure instance.
      """
      resid = self.resid
      df = pd.DataFrame(resid)
      title = "Cointegrating Residual" if title is None else title
      ax = df.plot(legend=False, ax=axes, title=title)
      ax.set_xlim(df.index.min(), df.index.max())
      fig = ax.get_figure()
      fig.tight_layout(pad=1.0)
  
      return fig
  
imports: from __future__ import annotations
  from typing import Any, NamedTuple, cast
  import pandas
  from statsmodels.iolib.summary import Summary
  from statsmodels.regression.linear_model import OLS, RegressionResults
  import arch.covariance.kernel
  from arch.typing import ArrayLike1D, ArrayLike2D, UnitRootTrend
  from arch.utility.array import ensure1d, ensure2d
  from arch.utility.timeseries import add_trend
label_desc: Use image node_id 6 for calling the ResidualCointegrationTestResult obj's underlying member method code with example usage: obj.plot(axes, title) and returns: fig