I am looking for help with developing a regression model using all predictors in a given data set. The data set has 10 predictors and we need to develop the best possible regression model using all predictors. We have no information about what the data actually stands for; the predictors are labeled with generic variables. Looking for help on how to start building/testing the model in R. I am not sure how to take into account all possible interactions for so many different predictors.