title: R multinom() function stops after 100 iterations, what is the reason?
body: <p>I have quite a relatively large number of data, it has 80 columns and approx 220, 000 rows
  When I'm attempting to use <code>nnet</code>'s <code>multinom()</code> function to perform a mutlinomial logistic regression on unordered multi categorical data the function seems to stop after 100 iterations:</p>
  
  <pre><code># weights:  322 (270 variable)
  initial  value 807521.728781 
  iter  10 value 191523.940813
  iter  20 value 163085.728004
  iter  30 value 146262.378340
  iter  40 value 139398.851395
  iter  50 value 134606.101687
  iter  60 value 133588.725646
  iter  70 value 133253.102380
  iter  80 value 133129.328709
  iter  90 value 133098.717752
  iter 100 value 133095.661773
  final  value 133095.661773 
  stopped after 100 iterations
  </code></pre>
  
  <p>I have also attempted to use <code>VGAM</code>'s <code>vglm()</code> however it gives me the following error:</p>
  
  <pre><code>Error in outer(X, Y, FUN, ...) : allocMatrix: too many elements specified
  </code></pre>
  
  <p>A possible explanation is that my tiny macbook air isn't up for the job, however I was wondering, what other alternatives do I have to perform multinomial logistic regression on the datasets I currently have?</p>