As one JMP Systems Engineer noted, the latest versions of JMP Pro are "extremely good at performing chemometric analyses"—the set of multivariate techniques for chemical data. For spectral data from Near Infrared (NIR) spectroscopy, NMR, or mass spectrometry, JMP Pro 17 provides advanced tools within the FDE to correct for baseline shifts, light scattering, and noise. Once cleaned, data can be modeled using new techniques like wavelet analysis , which is exceptionally good at capturing small, localized variations in a curve that might otherwise be missed.
This platform helps optimize processes within a defined design space, making it a critical tool for engineers and manufacturing specialists. Why Professionals Choose JMP Pro
From JMP’s platform:
For anyone working in pharma, biotech, advanced manufacturing, or financial risk modeling, JMP 17 Pro is a necessity. For basic quality control or teaching introductory statistics, the standard version may suffice.
This feature helps predict product lifespans under normal conditions by analyzing failure data obtained under high-stress conditions (e.g., elevated temperature or humidity). Key Enhancements in Version 17 jmp 17 pro
This personality within the Fit Model platform allows users to build models using regularization techniques like Lasso, Elastic Net, and Ridge regression. These are crucial for handling multicollinearity and performing variable selection in high-dimensional datasets.
A guided, step-by-step platform for Design of Experiments. It walks beginners and experts alike through defining factors, choosing a design, entering data, and analyzing results. JMP User Community 🧠 Advanced Modeling in JMP Pro 17 As one JMP Systems Engineer noted, the latest
What (e.g., small sample sizes, messy data, wide data) are you trying to solve?
One of the most celebrated new additions in JMP 17 is the . This feature allows users to record, save, and share a complete analysis sequence as a reusable macro. You can replay all steps at once to refresh your analysis with new data, add individual steps to an existing workflow, share the entire workflow package with colleagues, and export it as a script. The Workflow Builder transforms manual, error-prone, multi-step tasks into a transparent, auditable, and single-click process, ensuring reproducibility and freeing up valuable time for deeper investigation. This platform helps optimize processes within a defined
JMP Pro has always been a leader in predictive modeling, and version 17 continues this tradition. The XGBoost add-in, a popular tool for extreme gradient boosted tree modeling, has received a major update. A new makes it easier than ever to automatically tune hyperparameters, now using a Fast Flexible Filling design to efficiently search the parameter space.