Before revision:  The previously published OnPLS algorithm finds the relationships among multiple datamatrices (blocks) by calculating latent variables ; however, a method for improving the interpretation of these latent variables by assessing the importance of the input variables was missing.
After revision:  MB-VIOP has been tested using three multiblock datasets. MB-VIOP assesses the variable importance in any type of data. MB-VIOP connects the input variables of different data matrices according to their relevance for the interpretation of these latent variables by assessing the importance of the input variables was missing.