Dropping predictor variables based on adjusted R square

Hello experts,

I have recently (1month) started using R. Earlier I was using SAS to work on
analytic assignments. 
In SAS there is an option - forward selection, backward selection, step wise
selection where in it removes the least impacting predictor variable from
the set  of variables based on adjusted r square and leaves us with the
highest impacting variables to predict.
Is there any similar functionality or function in R studio. Kindly suggest.
Thanks.  



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