How to deal with observations error in linear regression

I have data of 11 predictors and 1 response with 1000 observations and i'm doing linear regression on the data. I also have the measurements errors for the predictors (not for the response) and i'm struggling in find out hoe to count for them in the total error estimate, because basic multiple linear regression algorithm doesn't count for them.

Any idea?