class_docstr: Model formula
  
  Allows to describe a model with multiple formulas. The first formula describes the response
  variable and its predictors. The following formulas describe predictors for other parameters
  of the likelihood function, allowing distributional models.
  
  Parameters
  ----------
  formula : str
      A model description written using the formula syntax from the ``formulae`` library.
  *additionals : str
      Additional formulas that describe the
docstr: Check if the additional formulas match the expected format
  
  Parameters
  ----------
  additionals : Sequence[str]
      Model formulas that describe model parameters rather than a response variable
  
  Returns
  -------
  additionals : Sequence[str]
      If all formulas match the required format, it return them.
code: def check_additionals(self, additionals: Sequence[str]):
      """Check if the additional formulas match the expected format
  
      Parameters
      ----------
      additionals : Sequence[str]
          Model formulas that describe model parameters rather than a response variable
  
      Returns
      -------
      additionals : Sequence[str]
          If all formulas match the required format, it return them.
      """
      for additional in additionals:
          self.check_additional(additional)
      return additionals
  
file_path: bambi/bambi/formula.py
imports: import warnings
  from typing import Sequence
  import formulae
label_desc: Use image node_id 2 for calling the Formula obj's underlying member method code with example usage: obj.check_additionals(additionals) and returns: additionals