class_docstr: Fit GLM model based on the specified design. Supports only single or concatenated runs.
class_docstr_tok: ["Fit","GLM","model","based","on","the","specified","design",".","Supports","only","single","or","concatenated","runs","."]
code: def _list_outputs(self):
      outputs = self._outputs().get()
      outputs["beta"] = self._beta_file
      outputs["nvbeta"] = self._nvbeta
      outputs["s2"] = self._s2_file
      outputs["dof"] = self._dof
      outputs["constants"] = self._constants
      outputs["axis"] = self._axis
      outputs["reg_names"] = self._reg_names
      if self.inputs.model == "ar1":
          outputs["a"] = self._a_file
      if self.inputs.save_residuals:
          outputs["residuals"] = self._residuals_file
      return outputs
  
file_path: nipype/nipype/interfaces/nipy/model.py
imports: import os
  from .base import NipyBaseInterface
  from ..base import TraitedSpec, traits, File, OutputMultiPath, BaseInterfaceInputSpec, isdefined
label_desc: Use image node_id 2 for calling the FitGLM obj's underlying member method code with example usage: obj._list_outputs() and returns: outputs