title: scipy.odr output intercept and slope
body: <p>I'm trying to plot ad odr regression. I used the code from this post as an example:
  <a href="https://stackoverflow.com/questions/27276951/linear-regression-using-scipy-odr-fails-not-full-rank-at-solution.">sample code</a>
  this is my code:</p>
  
  <pre><code># regressione ODR  
  import scipy.odr as odr
  def funzione(B,x):
      return B[0]*x+B[1]
  linear= odr.Model(funzione)
  variabili=odr.Data(database.valore_rut,database.valore_cap)
  regressione_ortogonale=odr.ODR(variabili,linear,beta0=[1., 2.])
  output=regressione_ortogonale.run()    
  output.pprint()
  </code></pre>
  
  <p>this is the output</p>
  
  <pre><code>Beta: [ 1.00088365  1.78267543]
  Beta Std Error: [ 0.04851125  0.41899546]
  Beta Covariance: [[ 0.00043625 -0.00154797]
  [-0.00154797  0.03254372]]
  Residual Variance: 5.39450361153
  Inverse Condition #: 0.109803542662
  Reason(s) for Halting:
  Sum of squares convergence
  </code></pre>
  
  <p>where can i find the intercept and the slope to draw the line?</p>
  
  <p>Thanks</p>