class_docstr: Summarize the fit of a linear regression model.
  
  It handles the output of contrasts, estimates of covariance, etc.
docstr: Error sum of squares.
  
  If not from an OLS model this is "pseudo"-SSE.
docstr_tok: ["Error","sum","of","squares",".","If","not","from","an","OLS","model","this","is","``","pseudo","''","-SSE","."]
code: def SSE(self):
      """Error sum of squares.
  
      If not from an OLS model this is "pseudo"-SSE.
      """
      return (self.whitened_residuals**2).sum(0)
  
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 5 for calling the RegressionResults obj's underlying member method code with example usage: obj.SSE() and returns: unknown