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","."]
code: def __init__(self, model, params):
      super().__init__(model, 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 1 to create a new RegularizedResults object from inherited base classes: Results with example: obj = RegularizedResults(model, params)