The article discusses a new method called the Shifted Liu-Type Estimator in linear regression to deal with multicollinearity. This method improves upon existing techniques by simplifying the estimator to a single parameter. The study shows that the Shifted NL estimator outperforms other estimators in terms of accuracy, making it a good choice for linear regression models.