title: Error in model.frame.default() variable lengths differ (found for '(weights)')
body: <p>I am new to R, and I am running the multinomial logistic regression in R, but it keeps showing the error:</p>
  
  <pre><code>library(nnet)
  train &lt;-read.csv("train.csv", header = TRUE)
  train &lt;-multinom(Crime_code~Year+Month+Day+Weekday+Time+Hour+Area+District+Longitude+Latitude,data=train,size=11,maxit=1700,weights=1700)
  ## Error in model.frame.default(formula = Crime_code ~ Year + Month + Day +  : variable lengths differ (found for '(weights)')
  summary(train)
  ## Error in object[[i]] : object of type 'closure' is not subsettable
  </code></pre>
  
  <p>Here is the data structure:</p>
  
  <pre><code>str(train)
  'data.frame':   1760097 obs. of  12 variables:
  $ DR        : int  120215758 160512269 112104909 121523303 162107991 
  161407795 180409993 130911557 120405961 160221815 ...
  $ Year      : int  2012 2015 2011 2012 2016 2016 2018 2013 2011 2016 ...
  $ Month     : int  8 9 1 12 2 2 5 6 9 12 ...
  $ Day       : int  5 1 18 9 24 24 18 3 1 12 ...
  $ Weekday   : int  6 1 1 6 2 2 4 0 3 0 ...
  $ Time      : int  2345 800 5 1200 1630 910 1910 1240 2000 1800 ...
  $ Hour      : int  23 8 0 12 16 9 19 12 20 18 ...
  $ Area      : int  2 5 21 15 21 14 4 9 4 2 ...
  $ District  : int  201 513 2105 1583 2185 1453 489 964 416 233 ...
  $ Longitude : num  -118 -118 -119 -118 -119 ...
  $ Latitude  : num  34.1 33.8 34.2 34.1 34.2 ...
  $ Crime_code: int  624 354 220 745 310 624 626 624 230 420 ...
  </code></pre>