title: combining regression model estimates into a single table
body: <p>I am trying to automate the process by which I output the coefficients and standard errors from a number of regression models into a single table for output via xtable as html.</p>
  
  <p>Some similar questions (<a href="https://stackoverflow.com/questions/4347634/combining-several-regression-tables-into-one-for-use-in-xtable-with-sweave-in-r">like this one</a>) have been directed to a function called "outreg" by Paul Johnson, but the page no longer exists and I can't find the code.</p>
  
  <p>Others (<a href="https://stackoverflow.com/questions/2669137/in-r-how-to-combine-the-summary-together">like this one</a>) use solutions  that seem to give me errors because my models do not all have the same number of variables.</p>
  
  <p>To clarify my task ... </p>
  
  <ul>
  <li>I have n polr (ordinal logistic) models from which I want to output the coefficients and standard errors.</li>
  <li>Each model includes a different number of predictors.</li>
  <li>I need one data.frame (?) with a column or two for each model and a row for each predictor</li>
  <li>it's not critical how the standard errors are output in relation to the coefficients</li>
  </ul>
  
  <p>each model has output like this with successively more predictors:</p>
  
  <pre><code>&gt;summary(model1)["coefficients"]
  $coefficients
  
                  Value Std. Error  t value
  relGPA          0.8683499 0.04185389 20.74717
  mcAvgGPA        1.3885515 0.09688030 14.33265
  Deny|Waitlist   0.5707912 0.01553476 36.74283
  Waitlist|Accept 0.8398921 0.01618358 51.89779
  </code></pre>