title: Python: How to evaluate the residuals in StatsModels?
body: <p>I want to evaluate the residuals: (y-hat y).</p>
  
  <p>I know how to do that:</p>
  
  <pre><code>df = pd.read_csv('myFile', delim_whitespace = True, header = None)
  df.columns = ['column1', 'column2']
  y, X = ps.dmatrices('column1 ~ column2',data = df, return_type = 'dataframe')
  model = sm.OLS(y,X)
  results = model.fit()
  predictedValues = results.predict()
  #print predictedValues
  yData = df.as_matrix(columns = ['column1'])
  res = yData - predictedValues
  </code></pre>
  
  <p>I wonder if there is a Method to do this (?).</p>