How to make this iterative code in R, faster in any way? Using genSA(simulated annealing)

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final<-for(i in unique(modeldata$market)){
  
  temp<-modeldata[modeldata$market==i]
  setDT(temp)
  
  
  features <- subset(temp,select=features)
  #featu


                      
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