This short guide gives you an introduction to the principles of multivariate analysis, some broad applications for this technology, how it differs from classical (univariate) statistics and an overview of common multivariate models.
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Founded in 1984, we are a leader in Multivariate Data Analysis and Design of Experiments software. More than 25,000 data analysts, engineers, researchers and scientists use The Unscrambler® X suite to explore and analyze large data sets, improve product development, manufacturing processes, quality control and market segmentation.
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