Determination of relationships between milk composition and cheese yield using principal component analysis and logit model.

Abstract

Cheese yield is affected by many factors including milk quality and composition. The application of a factor analysis method, so called Principal Components Analysis (PCA), has the final goal of establishing and analyzing those variables which influence in a meaningful way the cheese yield. The study was focused on a set of dates regarding the cow, buffalo, ewe and goat milk constituents and cheese, available in the related work. The data was then used in a principal component analysis, identifying such a number of 5 variables involved in cheese yield and also variables which determine the different textures.