Umetrics Announces Release of SIMCA 14 MVDA Software

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  • Published: Jan 29, 2015
  • Source: Umetrics
  • Channels: Laboratory Informatics / Chemometrics & Informatics

Python Scripting, Workspace, What If Predictions and New Visualization Plots

Malmö, Sweden. January 28, 2015.

Umetrics announces the release of version 14 of SIMCA, the standard in multivariate data analysis. Umetrics is known for helping engineers, analysts and scientists to master their data using SIMCA software. Whether it is batch data, time-series data or any other kind of data, SIMCA transforms raw numbers into graphical information for easy interpretation, enabling decision making to take action – quickly and with confidence. Now, SIMCA 14 introduces these additional enhancements:

Scripting using Python: Write and use scripts to automate your day-to-day work.

What-If Analysis: The ability to predict what will happen when data is adjusted, making SIMCA 14 an excellent tool for simulation and process understanding.

Workspace Ease of Use Enhancements- All plots, customized as desired, are saved and reopened the next time you open the project. Facilitates sharing information across your organization.

Batch-OPLS: Batch models for batch evolution can now be based on OPLS allowing superior interpretation.

New Graphics and Plots- SIMCA 14 offers the outstanding graphics and visualization tools for multivariate data analysis, now including the new plot ROC and plot type DOT.

Models built in SIMCA can be used in Umetrics SIMCA product suite including SIMCA-Q 14 and SIMCA-online 14.

About Umetrics

Umetrics is a world leader in multivariate technology, providing software for design of experiments (DOE) and multivariate data analysis (MVDA). Umetrics offers complete solutions for both off-line and on-line data analysis (continuous and batch processes), all supported by training and consulting services. Umetrics is a subsidiary of MKS Instruments, Inc., global provider of instruments, subsystems, software and process control solutions to manage critical parameters of advanced manufacturing processes. More information can be found at Umetrics website www.umetrics.com.

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