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This paper studies discriminant modeling method of compositional data. By adopting logratio transformation of compositional data and then implementing Fisher discriminant modeling method to the transformed data, the logcontrast linear discriminant function of compositional data is derived. The model presents the following advantages: i) the transformed data, which is scaled up to a broader range of...
This paper studies the discriminant modeling method for the constrained data. We propose the multinomial logit partial least squares (ML-PLS) regression of compositional data by implementing the ML-PLS regression method on the centered logratio (clr) transformed data. And the model presents the following advantages: i) compared to the additive logratio (alr) transformation of the compositional data,...
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