class_docstr: Returns a dict-like object with keys accessible via attribute lookup.
  
  Parameters
  ----------
  *args
      Arguments passed to dict constructor, tuples (key, value).
  **kwargs
      Keyword agument passed to dict constructor, key=value.
code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
      self.__dict__ = self
  
imports: import numpy
  import pandas
  import scipy.linalg
  from statsmodels.tools.data import _is_using_pandas
  from statsmodels.tools.validation import array_like
label_desc: Use image node_id 1 to create a new Bunch object from inherited base classes: dict with example: obj = Bunch()