title: aggregate logit choice model in R
body: <p>I have an aggregate data frame like below where I know how many customers purchased different cars given the characteristics of each car. How can I create an aggregated logit model (or nested logit model) using this data set? I know about the mlogit and mnlogit package. But can I use them for this purpose?</p>
  
  <p>If not then is there any other way to model logit and nested logit model in R using the following data?</p>
  
  <pre><code>library(data.table)
  data("mtcars")
  data &lt;- data.table(mtcars)
  data[,custo_no:= sample(1:200,nrow(data))]
  
  head(data)
      mpg cyl disp  hp drat    wt  qsec vs am gear carb custo_no
  1: 21.0   6  160 110 3.90 2.620 16.46  0  1    4    4      135
  2: 21.0   6  160 110 3.90 2.875 17.02  0  1    4    4       24
  3: 22.8   4  108  93 3.85 2.320 18.61  1  1    4    1      175
  4: 21.4   6  258 110 3.08 3.215 19.44  1  0    3    1       90
  5: 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2      180
  6: 18.1   6  225 105 2.76 3.460 20.22  1  0    3    1       55
  </code></pre>