title: Understanding glm$residuals and resid(glm)
body: <p>Can you tell me what is returned by <strong>glm$residuals</strong> and <strong>resid(glm)</strong> where glm is a quasipoisson object.  e.g. How would I create them using glm$y and glm$linear.predictors. </p>
  
  <p><strong>glm$residuals</strong></p>
  
  <pre><code>     n missing  unique    Mean     .05     .10   .25  .50     .75     .90     .95
  
   37715   10042    2174 -0.2574 -2.7538 -2.2661 -1.4480 -0.4381  0.7542  1.9845  2.7749
  
  
  
  lowest : -4.243 -3.552 -3.509 -3.481 -3.464
  highest:  8.195  8.319  8.592  9.089  9.416
  </code></pre>
  
  <p><strong>resid(glm)</strong></p>
  
  <pre><code>        n    missing     unique       Mean        .05        .10        .25
      37715          0       2048 -2.727e-10    -1.0000    -1.0000    -0.6276
        .50        .75        .90        .95
    -0.2080     0.4106     1.1766     1.7333
  
  lowest : -1.0000 -0.8415 -0.8350 -0.8333 -0.8288
  highest:  7.2491  7.6110  7.6486  7.9574 10.1932
  </code></pre>