The effect of multilinear data fusion on the accuracy of multivariate curve resolution outputs

Vast evolution in the analytical instruments (e.g. Chemical imaging) makes higher-order data recording more facile. Such sophisticated data acquisition schemes, definitely call for updated data treatment tools. In this way, chemometrics has a decisive role in the analytical chemistry area not only to analyze, but also to expect such data generation possibilities, e.g. combining data coming from instruments with different orders. "Partial trilinearity constraint" is specially planned to cope with differences in bi-and-trilinear models. In this research, we tried to shed light on the accuracy of the mixed multilinear multimodal analysis under partial trilinearity constraint and its conjugation with force-to-zero constraint. For this, several numerical and real experiments are designed by changing the number of components in each block. Finally, some practical guidelines are provided for the analytical chemists.