class_docstr: A class that holds functions to be optimized over when conducting
  hypothesis tests and calculating confidence intervals.
  
  Parameters
  ----------
  
  OLSResults : Results instance
      A fitted OLS result.
class_docstr_tok: ["A","class","that","holds","functions","to","be","optimized","over","when","conducting","hypothesis","tests","and","calculating","confidence","intervals",".","Parameters","--","--","--","--","--","OLSResults",":","Results","instance","A","fitted","OLS","result","."]
code: def __init__(self):
      pass
  
imports: import numpy
  from statsmodels.emplike.descriptive import _OptFuncts
label_desc: Use image node_id 1 to create a new _ELRegOpts object from inherited base classes: _OptFuncts with example: obj = _ELRegOpts()