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: Return linear predictor values from a design matrix.
          
code: def predicted(self):
      """Return linear predictor values from a design matrix."""
      beta = self.theta
      # the LikelihoodModelResults has parameters named 'theta'
      X = self.model.design
      return np.dot(X, beta)
  
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 4 for calling the RegressionResults obj's underlying member method code with example usage: obj.predicted() and returns: np