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JMP dynamically links statistics and graphics so you can easily explore data, make discoveries, and gain the knowledge you need to make better decisions. Click on a point in a graph to highlight the corresponding observation everywhere it is represented in JMP: in other graphs, in 3-D spinning plots, and in the data tables. JMP provides a comprehensive set of statistical tools as well as Design of Experiments (DOE) and advanced quality control (QC and SPC) tools for Six Sigma in a single package. Advanced modeling techniques include ANOVA and MANOVA, stepwise, loglinear, ordinal logistic regression, survival/reliability, true nonlinear modeling, partitioning (decision trees), neural networks, time series; multivariate, cluster, discriminant, and partial least squares (PLS). The JMP Scripting Language (JSL) lets you capture the results of your work in automatically-generated scripts, and offers all the power of a programming language, complete with matrix algebra support, so you can create custom analyses, interactive graphics, and more.
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