The article introduces a new estimator called the almost unbiased Liu-type (AUNL) estimator to deal with multicollinearity in statistical analysis. This estimator is designed to reduce bias and improve accuracy in estimating relationships between variables. The AUNL estimator is compared to other existing estimators using the mean square error matrix criterion. The researchers show that the AUNL estimator performs well in various scenarios, including when dealing with real data examples and through Monte Carlo simulations. This new estimator offers a more reliable way to estimate relationships between variables in statistical models.