Based on the best selling book on multivariate analysis this new tutorial will give a step-by-step introduction to problem solving and optimisation using multivariate analysis and Unscrambler.
The tutorial includes all of the more than 20 different real-world examples from the book covering topics like prediction of alcohol concentration in mixtures, octane number in gasoline, prediction of paper quality, prediction of gluten-starch mixtures, raw material identification, classification of vegetable oils, sports drink formulation, blending fruit juices, understanding a chemical manufacturing process, chemical reaction monitoring, determine fat content in fish and more.
All examples comes complete with datasets, detailed explanations and advice on interpreting the results.
The guide includes more than 20 different real-world examples complete with datasets, detailed step-by-step instructions on how to perform the analysis using Unscrambler, and advice on interpreting the results.
The tutorial is based on the industry leading tool for multivariate analysis, Unscrambler. Covering a broad set of methods like Principal Component Analysis (PCA), Principal Component Regression (PCR), Partial Least Squares (PLS) Regression, pretreatments, calibration, design of experiments (DoE) and more the user will get a good understanding of multivariate analysis and experience the ease-of-use and powerful analytical capabilities of Unscrambler.
The guide is complementary for all new Unscrambler customers and customers enrolled in the maintenance program.
Download guide and datasets >>
Please note that you need an active maintenance agreement to download the guide. You will be prompted to login to the support portal before you can download.
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