TY - JOUR T1 - Comparative Evaluation of Some Penalty Regression Techniques in the Multicollinearity Problem AU - Tolun, Tolga PY - 2025 DA - October Y2 - 2025 DO - 10.30910/turkjans.1757995 JF - Turkish Journal of Agricultural and Natural Sciences JO - TURKJANS PB - Mevlüt AKÇURA WT - DergiPark SN - 2148-3647 SP - 1166 EP - 1174 VL - 12 IS - 4 LA - en AB - This study aimed to predict an important biological trait, such as egg albumen height, in the presence of multicollinearity problem using some external quality parameters (egg weight, width, length, shape index, Haugh unit). Although a high coefficient of determination (R²=0.995) was obtained in the multiple regression model generated using the Classical Least Squares Method (LSM), serious multicollinearity problem was detected among the independent variables, negatively impacting the model's reliability. 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