Together with Frank Westad of Camo Analytics, Pat teaches how multivariate analysis (MVA) methods in combination with design of experiments (DOE) tools can be deployed to pinpoint optimal material properties. This webinar will demonstrate how to build an optimal design from principal components and use the DoE results to find an optimal compound. We will provide real world examples of how The Unscrambler® X can be put into practice in context of R&D, engineering and manufacturing.
For researchers or data analysts with large or complex data sets that you need to understand better and get deeper insights from. Scientists working in process analysis, chemometrics, spectroscopy, metabolomics or sensometrics, will also find valuable insights on how to enhance their work.