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. This study was conducted to determine the inner quality characteristics ofeggs using external egg quality characteristics. The variables were selected inorder to obtain the simplest model using ridge, LASSO and elastic netregularization methods. For this purpose, measurements of the internal and external characteristics of 117 Japanese quail eggswere made. Internal quality characteristics were egg yolkweight and albumen weight; external quality characteristics were egg width,egg length, egg weight, shape index and shell weight. An ordinaryleast square method was applied to the data. Ridge, LASSO and elastic netregularization methods were performed to remove the multicollinearity of the data.The regression estimating equations of the internal eggquality were significant for all methods ( P ). The goodness of fit of the regressionestimating equations for egg yolk weight was 58.34, 59.17 and 59.11 %for the ridge, LASSO and elastic net methods, respectively. For egg albumen weight the goodness of fit of the regressionestimating equations was 75.60 %, 75.94 % and 75.81 % for the respective ridge, LASSO and elastic netmethods. It was revealed that LASSO, including two predictorsfor both egg yolk weight and egg albumen weight, was the best model withregard to high predictive accuracy.

Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net