title: Extract Residual Standard error from loess regression results in R
body: <p>I am trying to extract the Residual Standard Error from the output summary of loess regression model.</p>
  <pre><code>&gt; summary(fit.loess[[i]])
  Call:
  loess(formula = dfcpm[, ncol(dfcpm)] ~ dfcpm[, i], data = dfcpm, 
      span = 0.5, degree = 1, normalize = FALSE, family = &quot;gaussian&quot;)
  
  Number of Observations: 88 
  Equivalent Number of Parameters: 4.7 
  Residual Standard Error: 21.7 
  Trace of smoother matrix: 5.53  (exact)
  
  Control settings:
    span     :  0.5 
    degree   :  1 
    family   :  gaussian
    surface  :  interpolate     cell = 0.2
    normalize:  FALSE
   parametric:  FALSE
  drop.square:  FALSE 
  </code></pre>
  <p>Now I want to <strong>extract the Residual Standard Error of this model</strong>. How do I extract it ? I cannot find this value <strong>(i.e. 21.7)</strong> anywhere in the model object.</p>
  <pre><code>&gt; names(fit.loess[[i]])
   [1] &quot;n&quot;         &quot;fitted&quot;    &quot;residuals&quot; &quot;enp&quot;       &quot;s&quot;         &quot;one.delta&quot; &quot;two.delta&quot; &quot;trace.hat&quot;
   [9] &quot;divisor&quot;   &quot;robust&quot;    &quot;pars&quot;      &quot;kd&quot;        &quot;call&quot;      &quot;terms&quot;     &quot;xnames&quot;    &quot;x&quot;        
  [17] &quot;y&quot;         &quot;weights&quot; 
  </code></pre>