Map function in R for multiple regression -

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my goal run multiple regression on each dependent variable in list, using of independent variables in list. store best model each dependent variable aic.

i have written below function guided this post. however, instead of employing each independent variable individually, i'd run model against entire list multiple regression.

any tips on how build function?

dep<-list("mpg~","cyl~","disp~") # list of unique dependent variables ~  indep<-list("hp","drat","wt")  # list of first unique independent variables  models<- map(function(x,y) step(lm(as.formula(paste(x,paste(y),collapse="+")),data=mtcars),direction="backward"),dep,indep)  start:  aic=88.43 mpg ~ hp          df     sum of sq     rss     aic <none>                      447.67  88.427 - hp     1      678.37     1126.05 115.943 start:  aic=18.56 cyl ~ drat          df     sum of sq     rss    aic <none>                      50.435 18.558 - drat   1      48.44       98.875 38.100 start:  aic=261.74 disp ~ wt          df     sum of sq     rss    aic <none>                      100709 261.74 - wt     1      375476      476185 309.45 [[1]]  call: lm(formula = mpg ~ hp, data = mtcars)  coefficients: (intercept)           hp   30.09886          -0.06823     [[2]]  call: lm(formula = cyl ~ drat, data = mtcars)  coefficients: (intercept)         drat   14.596            -2.338     [[3]]  call: lm(formula = disp ~ wt, data = mtcars)  coefficients: (intercept)           wt    -131.1             112.5

the y needs collapsed + , pasted x , y needs passed vector each value of x

models <- lapply(dep, function(x, y)     step(lm(as.formula(paste(x, paste(y, collapse="+"))), data=mtcars),           direction="backward"), y = indep)

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