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: Return the maximized log-likelihood.
docstr_tok: ["Return","the","maximized","log-likelihood","."]
code: def logL(self):
      """Return the maximized log-likelihood."""
      raise NotImplementedError(
          "logL not implemented for "
          "SimpleRegressionsResults. "
          "Use RegressionResults"
      )
  
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 2 for calling the SimpleRegressionResults obj's underlying member method code with example usage: obj.logL() without return types