Before revision:  In this paper, we provide evidence for the usefulness, the efficiency and the reliability of MB-VIOP  for the abovementioned purposes by means of three examples, (i) a synthetic four-block dataset, (ii) a real three-block omics dataset related to plant sciences, and (iii) a real six-block dataset related to the food industry .
After revision:  In this paper, we provide evidence for the usefulness, the efficiency and the reliability of MB-VIOP for generating dimensionality reduced models with high interpretability makes this method ideal for big data mining, multi-omics data integration and any study that requires exploration and interpretation of large streams of data .