Data Analysis, DoE Software offers diverse, integrated toolset.February 16, 2012 -
Optimized for usability and reliability, The Unscrambler® X v10.2 offers multivariate statistical methods that include regression, classification, and exploratory data analysis. Design of Experiments (DoE) functionality covers Plackett-Burman, Factorial, Central Composite, Box-Behnken, Mixtures, and D-Optimal designs, and pre-processing capabilities are also included. Furthermore, software offers block weighting as well as descriptive statistics and classical statistical tests.
Original Press release
Camo Technologies
1480 Route 9 North Suite 209
Woodbridge, NJ, 07095
USA
CAMO Software Announce Pre-Release of a New Version of Their Multivariate Data Analysis and Design of Experiments Software, the Unscrambler® X Version 10.2
OSLO, Norway -- CAMO Software have announced they will release a new version of The Unscrambler® X, their leading Multivariate Data Analysis (MVA) and Design of Experiments (DoE) software, on the 7th of March 2012.
The focus of the upcoming release was the optimization of the software for even greater usability and reliability. The Unscrambler® X 10.2 builds on the software's existing strengths, such as data visualization, ease of use and powerful multivariate statistical methods including regression, classification and exploratory data analysis.
The Unscrambler® X 10.2 offers advanced statistical tools including:
- Exploratory data analysis: Principal Component Analysis (PCA), Cluster analysis (including K-means and Hierarchical clustering), Multivariate Curve Resolution (MCR)
- Regression methods: Principal Component Regression (PCR), Partial Least Squares (PLS), L-PLS, Support Vector Machines (SVM)
- Classification methods: Soft Independent Modeling of Class Analogy (SIMCA), Linear Discriminant Analysis (LDA), PLS-DA, SVM-C
- Design of Experiments: Plackett-Burman, Factorial, Central Composite, Box-Behnken, Mixtures, D-Optimal designs
- Pre-processing: Smoothing, Multiplicative Scatter Correction (MSC/EMSC), Orthogonal Signal Correction (OSC), Savitzky-Golay, COW, Additive & Multiplicative Baseline Correction methods
- Descriptive statistics and classical statistical tests
Brad Swarbrick, Vice President of Product Development at CAMO Software, says "The
Unscrambler® X 10.2 makes data mining and analysis even easier for our scientific, research and engineering users. We have focused on increased ease of use, better data handling capabilities and added a number of useful features."
Enhancements include the addition of block weighting for developing models suited to process manufacturing industries. For spectroscopy users, three new vendor specific imports have been included as well as more validation options for greater data interpretability.
The Unscrambler® X 10.2 is available for pre-order from CAMO Software's international sales offices. There will be a series of free webinars to demonstrate the new version in February and March. Current users of The Unscrambler® are encouraged to upgrade to the new version.
A 30-day trial version of The Unscrambler® X 10.2 will be available for download from the 7th of March at http://www.camo.com
About CAMO Software
Founded in 1984, CAMO Software is a recognized leader in Multivariate Data Analysis and Design of Experiments software. Our flagship product, The Unscrambler® X, is known for its ease of use, world-leading analytical tools and data visualization. More than 25,000 people in 3,000 organizations use our solutions to analyze large or complex data sets, improve process or equipment monitoring and build better predictive models. We help our clients make better decisions through deeper insights from their data, reduce R&D costs, improve production processes and product quality. For more information please visit http://www.camo.com
Press contacts:
Nathan Bray
Vice President, Marketing & Communication
CAMO Software
Direct: +47-22-39-63-01
Mobile: +47-411-47-234
Email: nb@camo.no
Brad Swarbrick
Vice President, Product Development
CAMO Software
Tel: +47-22-39-63-00
Email: bswarbrick@camo.com
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