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 linear predictor values from a design matrix.
docstr_tok: ["Return","linear","predictor","values","from","a","design","matrix","."]
code: def predicted(self, X):
      """Return linear predictor values from a design matrix."""
      beta = self.theta
      return np.dot(X, beta)
  
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 SimpleRegressionResults obj's underlying member method code with example usage: obj.predicted(X) and returns: np