class_docstr: Accessor to ``sklearn.linear_model``.
docstr: Call ``sklearn.linear_model.orthogonal_mp_gram`` using automatic mapping.
  
  - ``Gram``: ``ModelFrame.data.T.dot(ModelFrame.data)``
  - ``Xy``: ``ModelFrame.data.T.dot(ModelFrame.target)``
code: def orthogonal_mp_gram(self, *args, **kwargs):
      """
      Call ``sklearn.linear_model.orthogonal_mp_gram`` using automatic mapping.
  
      - ``Gram``: ``ModelFrame.data.T.dot(ModelFrame.data)``
      - ``Xy``: ``ModelFrame.data.T.dot(ModelFrame.target)``
      """
      func = self._module.orthogonal_mp_gram
      data = self._data.values
      target = self._target.values
      gram = data.T.dot(data)
      Xy = data.T.dot(target)
      coef = func(gram, Xy, *args, **kwargs)
      return coef
  
file_path: pandas-ml/pandas_ml/skaccessors/linear_model.py
imports: from pandas_ml.core.accessor import _AccessorMethods, _attach_methods, _wrap_data_target_func
label_desc: Use image node_id 6 for calling the LinearModelMethods obj's underlying member method code with example usage: obj.orthogonal_mp_gram() and returns: coef