Model selection function that compare all possible models with given predictor variables

I am trying to do model selection with two predictors (x1,x2) and their interactions, which results 4 potential models: 1) x1, 2) x2, 3) x1 and x2, 4) x1 and x2 and their interaction. Is there a function that I can use that do the model selection from those 4 models and give me the evaluation parameters, such as R2, AIC, and CI.

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