class_docstr: Results for models estimated using regularization
  
  Parameters
  ----------
  model : Model
      The model instance used to estimate the parameters.
  params : ndarray
      The estimated (regularized) parameters.
class_docstr_tok: ["Results","for","models","estimated","using","regularization","Parameters","--","--","--","--","--","model",":","Model","The","model","instance","used","to","estimate","the","parameters",".","params",":","ndarray","The","estimated","(","regularized",")","parameters","."]
docstr: The predicted values from the model at the estimated parameters.
docstr_tok: ["The","predicted","values","from","the","model","at","the","estimated","parameters","."]
code: def fittedvalues(self):
      """
      The predicted values from the model at the estimated parameters.
      """
      return self.model.predict(self.params)
  
file_path: statsmodels/statsmodels/base/elastic_net.py
imports: import numpy
  from statsmodels.base.model import Results
  import statsmodels.base.wrapper
  from statsmodels.tools.decorators import cache_readonly
label_desc: Use image node_id 2 for calling the RegularizedResults obj's underlying member method code with example usage: obj.fittedvalues() and returns: self