New hierarchical modelling software

Camo Software have released two new products; the Unscrambler X Hierarchical Model Development Module and the Unscrambler X Hierarchical Model Engine for integration with scientific instruments such as spectrometers.

These products are designed for R&D, production, engineering and QA/QC environments where there is a need for developing and implementing run-time control models for process monitoring applications. They are intended for use by production supervisors, quality assurance teams, technical services and control system designers.

The Unscrambler X Hierarchical Model Development Module is a plug-in to Camo’s Unscrambler X multivariate analysis software, used for off-line data analysis. When analysing process or other complex data, it can be difficult to make a global prediction or classification model that predicts well in every area. Therefore, it is often necessary to refine models based on the output of initial investigations, which is usually done manually and in many steps, becoming a laborious and time-consuming process which is prone to error.

Hierarchical models join a number of multivariate models using logic statements in order to arrive at a single, unique result. This is the classic logic tree or decision tree approach, where the analysis in one step is guided by the previous step. Hierarchical models are ideal for applications such as fermentation monitoring in biotech or food production and processing environments, gasoline blending in petroleum refining, reaction monitoring in chemical manufacturing, classifying and characterising pharmaceutical raw materials or optimising workflows for routine at-line analysis applications.


The Unscrambler X Hierarchical Model Engine on the other hand, is designed for end-users to apply hierarchical models in real-time by integrating them into scientific instruments, and in the near future, Camo’s Process Pulse software. If required, further customisation is available to integrate hierarchical models into control systems.

The software utilises multivariate analysis tools including Projection methods (PCA, PCR, PLSR), Classification methods (SIMCA, LDA, SVM) and Regression methods (MLR, PCR, PLSR). It accepts data in a wide range of formats, with advanced auto-pretreatment options. Alarms and warnings can be set with output in tabular format, including cell colours changing according to the alarm state, making it intuitive and easy to use for end-users.

More information and a free 30-day trial of the Hierarchical Model Development Module is available at

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