class_docstr: This class summarizes the fit of a linear regression model.
  
  It handles the output of contrasts, estimates of covariance, etc.
class_docstr_tok: ["This","class","summarizes","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.
          
code: def SSE(self):
      """Error sum of squares. If not from an OLS model this is "pseudo"-SSE."""
      return (self.wresid**2).sum(0)
  
imports: import warnings
  import numpy
  import numpy.linalg
  import scipy.linalg
  from nibabel.onetime import auto_attr
  from scipy import stats
  from nipy.algorithms.utils.matrices import matrix_rank, pos_recipr
  from .model import LikelihoodModel, LikelihoodModelResults
label_desc: Use image node_id 8 for calling the RegressionResults obj's underlying member method code with example usage: obj.SSE() and returns: unknown