class_docstr: Contain only information of the model fit necessary     for :term:`contrast` computation.
  
  Its intended to save memory when details of the model are unnecessary.
docstr: Residuals, normalized to have unit length.
  
  See :footcite:t:`Montgomery2006` and :footcite:t:`Davidson2004`.
  
  Notes
  -----
  Is this supposed to return "standardized residuals,"
  residuals standardized
  to have mean zero and approximately unit variance?
  
  d_i = e_i / sqrt(MS_E)
  
  Where MS_E = SSE / (n - k)
  
  References
  ----------
  .. footbibliography::
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code: def normalized_residuals(self, Y, X):
      """Residuals, normalized to have unit length.
  
      See :footcite:t:`Montgomery2006` and :footcite:t:`Davidson2004`.
  
      Notes
      -----
      Is this supposed to return "standardized residuals,"
      residuals standardized
      to have mean zero and approximately unit variance?
  
      d_i = e_i / sqrt(MS_E)
  
      Where MS_E = SSE / (n - k)
  
      References
      ----------
      .. footbibliography::
  
      """
      return self.residuals(Y, X) * positive_reciprocal(
          np.sqrt(self.dispersion)
      )
  
imports: import numpy
  import scipy.linalg
  from nibabel.onetime import auto_attr
  from numpy.linalg import matrix_rank
  from nilearn.glm._utils import positive_reciprocal
  from nilearn.glm.model import LikelihoodModelResults
label_desc: Use image node_id 4 for calling the SimpleRegressionResults obj's underlying member method code with example usage: obj.normalized_residuals(Y, X) and returns: unknown