class_docstr: Results class for OrderedModel
  
  This class inherits from GenericLikelihoodModelResults and not all
  inherited methods might be appropriate in this case.
docstr: The chi-squared probability of getting a log-likelihood ratio
  statistic greater than llr.  llr has a chi-squared distribution
  with degrees of freedom `df_model`.
code: def llr_pvalue(self):
      """
      The chi-squared probability of getting a log-likelihood ratio
      statistic greater than llr.  llr has a chi-squared distribution
      with degrees of freedom `df_model`.
      """
      # number of restrictions is number of exog
      return stats.distributions.chi2.sf(self.llr, self.model.k_vars)
  
imports: import warnings
  from statsmodels.compat.pandas import Appender
  import numpy
  import pandas
  from pandas.api.types import CategoricalDtype
  from scipy import stats
  from statsmodels.base.model import Model, LikelihoodModel, GenericLikelihoodModel, GenericLikelihoodModelResults
  import statsmodels.base.wrapper
  import statsmodels.regression.linear_model
  from statsmodels.tools.decorators import cache_readonly
label_desc: Use image node_id 5 for calling the OrderedResults obj's underlying member method code with example usage: obj.llr_pvalue() and returns: stats