Before revision:  To control for confounding in the linear model  we use Neyman-orthogonal moments to partial out the effect that covariates have on both, the treatment assignment and the outcome.
After revision:  To control for confounding in the linear model , we use Neyman-orthogonal moments to partial out the effect that covariates have on both, the treatment assignment and the outcome.