The Unscrambler®

CAMO logoPDK Projects, Inc. is proud to be a dealer in Canada for CAMO's Unscrambler® software family, a versatile package for comprehensive experimental design and multivariate analysis.

Unscrambler® performs comprehensive analysis:

The Unscrambler® is the complete Multivariate Analysis and Experimental Design software, equipped with powerful methods including PCA, Multivariate Curve Resolution (MCR), PLS regression, 3-Way PLS regression, Clustering (K-Means), SIMCA and PLS-DA Classification. Discover patterns and relationships in your data that traditional statistical methods and visual inspection cannot reveal.

New Developments with the Unscrambler®

The Unscrambler® 9.6 (download a free 30-day trial installation)

Download a brochure describing The Unscrambler 9.6.

Minimum computer requirements for The Unscrambler® latest version:

Operating System: Windows 98/ME/2000/XP/2003 or NT 3.51 or higher

RAM: 64 MB minimum

Hard disk space: 150 MB

Processor: Pentium 100 MHz or higher

For more information, visit CAMO Technologies Inc., Woodbridge, New Jersey, USA.

For a quote or to order in Canada , contact PDK Projects, Inc.


PDK Projects, Inc. has been using The Unscrambler® extensively for spectroscopic analysis (NIRS) and calibration development. The user friendly windows interface facilitates the intrepretation of data response.

The Unscrambler® excels in five key areas of statistical problem solving.

Examples of the Unscrambler's visual interface and its use by PDK Projects in NIR analysis of soil (click images to view larger version):

This figure shows the linear relationship between measured values for the constituent on the X-axis and NIR-predicted values on the Y-Axis.

This figure is a three-dimensional plot showing the relationships among samples based on their spectra.  Samples that are separated from the bulk of the samples are outliers.

This figure is a two-dimensional plot showing the relationships among several categories of samples based on their spectra.

This figure shows the relationships among constituents. It shows which are postively and negatively correlated with one another and which are most and least variable in the data set.

"The Unscrambler offers us a variety of user friendly ways in which one can code and display sample and variable properties. This makes it possible for us to interpret patterns of response in our modeling with far greater ease than was previously possible."

- Paul D. Martin BSc., Soils and Environment Specialist, PDK Projects, Inc.