Oslo, Norway – 1st December, 2014: CAMO Software today announced the launch of Service Pack 2014 for their all-in-one Multivariate Data Analysis (MVA) and Design of Experiments (DoE) software, The Unscrambler® X.
The Unscrambler® X is used by engineers, scientists, researchers and data analysts across R&D, Quality Control and Production departments in a range of industrial sectors as well as academia and research. This Service Pack continues CAMO’s tradition of delivering advanced multivariate data analysis software that is easy to use and offers exceptional data visualization. The software includes exploratory data analysis, regression and classification methods, predictive modeling, design of experiments and descriptive statistics.
The Unscrambler® X Service Pack 2014 offers several new features, including, for example, faster convergence of methods, new and improved plots and a new and improved recalculate menu.
Other key improvements include calculation of exact Q-residual limits for better outlier detection, Kennard-Stone sample selection augmented to achieve more uniform distribution of responses, better audit trail, bias and slope correction, and simplified matrix reshaping options based on category variable.
Service Pack 2014 is available for download on 1st December, and current users of The Unscrambler® X 10.3 are encouraged to install it.
A free 30-day trial version of The Unscrambler® X 10.3, including Service Pack 2014, is available for download from www.camo.com.
About CAMO Software
Founded in 1984, CAMO Software is a leader in Multivariate Data Analysis and Design of Experiments solutions for the life sciences, agriculture, food, manufacturing, resources, energy and technology sectors. More than 25,000 engineers, scientists and analysts in 3,000 organizations use The Unscrambler® X software range to explore large, complex data sets and better understand processes in R&D, engineering, production and quality control. Our solutions work with scientific instruments and a wide range of automation and control systems, enhancing their analytical capabilities with advanced multivariate methods. For more information please visit www.camo.com
Jostein R. Hareide,
Director, OEM & Marketing,
Telephone +47 22 39 63 00