“…MVDA is used for identifying patterns and relationships between several variables simultaneously (Eriksson, 2006). It predicts the effect of changing one variable to other variables and is applied for data analysis, data mining, classification (e.g., cluster analysis or outlier detection), regression analysis and predictive modeling, frequently used in pharmaceutical and biopharmaceutical processes (Eriksson, 2006;Pasqualoto et al, 2007;Rathore et al, 2011). Both tools, DoE and MVDA, are statistical-based, process understanding and optimization tools that build and describe knowledge around a specific application, which ultimately supports the development of confidence and enhanced understanding, as well as robustness of a process.…”