class_docstr: Performs Generalized least squares time series fit with Restricted
  Maximum Likelihood (REML) estimation of the temporal auto-correlation
  structure.
  
  For complete details, see the `3dREMLfit Documentation.
  <https://afni.nimh.nih.gov/pub/dist/doc/program_help/3dREMLfit.html>`_
  
  Examples
  ========
  
  >>> from nipype.interfaces import afni
  >>> remlfit = afni.Remlfit()
  >>> remlfit.inputs.in_files = ['functional.nii', 'functional2.nii']
  >>> remlfit.inputs.out_file = 'output.nii'
  >>> remlfit.inputs.matrix = 'output.1D'
  >>> remlfit.inputs.gltsym = [('SYM: +Lab1 -Lab2', 'TestSYM'), ('timeseries.txt', 'TestFile')]
  >>> remlfit.cmdline
  '3dREMLfit -gltsym "SYM: +Lab1 -Lab2" TestSYM -gltsym "timeseries.txt" TestFile -input "functional.nii functional2.nii" -matrix output.1D -Rbuck output.nii'
  >>> res = remlfit.run()  # doctest: +SKIP
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code: def _parse_inputs(self, skip=None):
      if skip is None:
          skip = []
      return super()._parse_inputs(skip)
  
imports: import os
  from ..base import CommandLineInputSpec, CommandLine, Directory, TraitedSpec, traits, isdefined, File, InputMultiPath, Undefined, Str
  from ...external.due import BibTeX
  from .base import AFNICommandBase, AFNICommand, AFNICommandInputSpec, AFNICommandOutputSpec, Info
label_desc: Use image node_id 1 for calling the Remlfit obj's underlying member method code with example usage: obj._parse_inputs(skip) and returns: super