New estimator outperforms traditional methods in predicting regression parameters accurately.
A new estimator called the generalized ridge and principal correlation estimator is introduced in the study. It is shown to outperform other estimators like least squares estimator, principal correlation estimator, and ridge and principal correlation estimator in terms of accuracy and closeness to the true values of regression parameters.
