ICOPVS – Preconference Tutorial: Chemometric Analysis Made Easy with The Unscrambler® X


ICOPVS – Preconference Tutorial: Chemometric Analysis Made Easy with The Unscrambler® X

08 July 2014
8:00am – 8:00pm

Mascot Hotel,
Trivandrum, Kerala

INR 4000

This pre-conference course will showcase the powerful features of The Unscrambler® X and specifically how it can be used in your day to day work with an emphasis on spectroscopy applications.

Training Topics:
• Importance of Chemometrics
• Principle Component Analysis (PCA)
• Multivariate regression:
o    MLR- Multi Linear Regression
o    PCR- Principal Component Regression
o    PLS- Partial Least Squares
• Multivariate Classifications:
o SIMCA – Soft Independent Modeling of Class Analogy
o PLS-DA – Partial Least Squares Discriminant Analysis
• Chemometrics modeling step by step
• Detecting and dealing with outliers
• Calibration, validation, Prediction
• Application Examples & Practical Exercises using NIR data

Read more…

For further information please contact our CAMO representative:
Bhanu Prakash R
Manager Sales (Asia Pacific)
Phone: +91 – 80 – 41254242 Ext 161
Mobile: +91 95913 79494
Fax: +91 – 80 – 41254181
Email: bhanup@camo.com

Process and product development for quality control in real-world applications


CAMO Software will be holding breakfast seminars in Oslo, Trondheim, Porsgrunn and Stavanger to demonstrate how to develop models in laboratory or pilot scale and apply them for on-line quality control in production.

Many organizations have systems for quality assurance based on statistical process control (SPC) and Design of Experiments (DoE). The basic question to answer is “Is my process under control and if not, why?” This seminar will start with the basic concept and show the multivariate advantage compared to looking at individual process variables. Our experts will go through the best-practice approach to develop, validate and most importantly implement multivariate models into real-world applications for quality control. CAMO’s on-line solution software Process Pulse will be presented.

Each event will have an introduction to DoE and multivariate analysis followed by applications and time for discussion.

Attendance is free, with light food and refreshments served.

Date & Place
Date: Tuesday, May 27th 2014
Time: 10.00 – 13.30
Place: Hotell Vic, Skolegata 1, 3916 Porsgrunn

Date: Tuesday, June 3rd 2014
Time: 10:00 – 13:30
Place: Rica Hotel Stavanger, Prestegårdsbakken 1, 4005 Stavanger

Date: Wednesday, June 4th 2014
Time: 10.00 – 13.30
Place: Rica Nidelven Hotel, Havnegata 1, 7400 Trondheim

Date: Thursday, June 5th 2014
Time: 10.00 – 13.30
Place: Park Inn Hotel, Øvre Slottsgate 2C, 0157 Oslo

To register your interest or for more information please contact us on:
Email: jo@camo.com
Tel: 22 39 63 00

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Ottimizzazione ed utilizzo di modelli multivariati in applicazioni pratiche


CAMO Software e BAGGI srl indicono un seminario a Milano riguardante l’ottimizzazione di processi industriali mediante l’utilizzo di modelli multivariati e il loro impiego congiunto con gli analizzatori prodotti da BAGGI.

Esperti di CAMO Software passeranno in rassegna le migliori procedure per sviluppare, validare e soprattutto implementare modelli multivariati in applicazioni pratiche. In seguito, BAGGI presenterà la propria linea di strumentazione. Infine verranno mostrati esempi di integrazione tra i modelli CAMO e strumenti BAGGI. La partecipazione è libera.

Durante il seminario verrà offerto un rinfresco durante la pausa caffè.


Giorno & Luogo
Giorno: Martedì, 6 Maggio 2014
Ora: 10:00 – 13:30
Luogo: B.A.G.G.I Srl, via Lambro 3/8, 20068 Peschiera Borromeo

Registrati per partecipare

Per ulteriori informazioni o per confermare la propria partecipazione, inviare una email a jo@camo.com o telefonare al +47 22 39 63 00.

CAMO Roadshow: Hvordan optimalisere og bruke multivariate modeller i praktiske applikasjoner


CAMO Software skal ha en serie seminarer hvor vi vil vise hvordan du kan optimalisere dine prosesser med multivariate metoder og implementere dem for produksjons og kvalitetskontroll.

Seminarene vil bli holdt i Oslo, Bergen, Trondheim, Stavanger og Tromsø

Våre eksperter vil gå igjennom de beste metodene for å utvikle, validere og implementere multivariate modeller i praksis.

Hvert seminar vil ha en innledning fra en gjesteforedragsholder fra det akademiske miljø eller fra industrien, etterfulgt av en presentasjon fra en av CAMO sine eksperter.

Arrangementet er gratis. En lett lunsj og forfriskninger vil bli servert.

Dato & Sted

Dato: Tirsdag, 12. november 2013

Tid: kl. 10:00 – 13:30
Sted: Rica Park Hotel Stavanger, Prestegårdsbakken 1, 4005 Stavanger

Dato: Onsdag, 13. november 2013
Tid: kl. 10:00 – 13:30
Sted: Rica Hotel Bergen, Christiesgate 5-7, 5808 Bergen

Dato: Torsdag, 14. november 2013
Tid: kl. 10:00 – 13:30
Sted: Rica Nidelven Hotel, Havnegata 1, 7400 Trondheim

Dato: Onsdag, 20. november 2013
Tid: kl. 10:00 – 13:30
Sted: Park Inn Hotel, Øvre Slottsgate 2C, 0157 Oslo

Dato: Fredag, 22. november 2013
Tid: kl. 10:00 – 13:30
Sted: Rica Grand Hotel, Storgaten 44, 9008 Tromsø

For påmelding, eller for mer informasjon http://goo.gl/4pKJF5

Advanced chemical analytical technology – visit CAMO at the Gulf Coast Conference


Visit CAMO at booth 1204 at the Gulf Coast Conference,
October 15-16, 2013, Moody Gardens Convention Center, Galveston, Texas We are pleased to let you know CAMO Software will have a booth at the Gulf Coast Conference in Galveston, Texas this October. This event is a great opportunity to meet professionals from the petrochemical, refining and environmental fields to learn more about the latest developments in chemical analysis technology.

CAMO will be presenting the latest version of The The Unscrambler® X all-in-one multivariate data analysis and Design of Experiments software, as well as new solutions including:

  • Hierarchical Model development module: Our new tool lets you combine Unscrambler X models in a decision-tree approach for modeling complex data
  • Process Pulse: Easy to use multivariate process monitoring solution for on-line or at-line applications

Our solutions work standalone and can also be integrated with a wide range of control systems and scientific instruments. CAMO also offers training and consultancy to help you apply our powerful multivariate models if required.

If you´re at the show, please visit the CAMO team at booth 1204 to find out more and pick up a free copy of our popular book Multivariate Data Analysis for Dummies“.

Read more about the Gulf Coast Conference here

VIDEO: Introduction to Multivariate Data Analysis


Brad Swarbrick, Vice President of Business Development at CAMO Software, gives a short introduction to multivariate data analysis, discusses some of its applications and how these powerful analytical tools are being used to improve products and manufacturing processes in a wide range of industries.


CAMO at the IFPAC 2013 conference


Last week some of our US team were at the IFPAC process analytical (PAT) and Quality by Design conference in Baltimore. It was a good show, giving us the chance to catch up with friends, customers and partners as well as meeting some new people in the field. Brad Swarbrick, Vice President of Business Development for CAMO, gave a talk on our new OPC-compliant solution, the ADI Insight Server, and how it allows chemometric models to be applied to data from instruments and fed back into automation and control systems compliant with OPC UA standard.

We also launched a number of other products, including the latest version of Process Pulse, our easy to use software that enables Unscrambler models to be used in on-line and at-line process applications, and a preview of our Hierarchical Modeling software which offers a powerful decision-tree approach to modeling complex data.

See some pictures from IFPAC below.



We recently announced the CAMO User Meeting 2013 will be held in Berlin on April 18 & 19. The User Meeting is a great opportunity to hear from world-leading experts, share experiences with other professionals, get previews of major new CAMO product releases and have one-on-one meetings with the CAMO team. The focus of the event is how to improve processes and products with the power of multivariate analysis. Confirmed speakers include Professor Harald Martens, Professor Rasmus Bro and Professor Kim Esbensen.

Thursday 18th April
10am – 5pm
(dinner and tour following)
Friday 19th April
9am – 3pm

Excelsior Hotel
Hardenbergstraße 14
10623 Berlin

More information will follow but in the meantime you can read more about the event and register here http://www.camo.com/events/berlin2013/index.html

We hope you can join for what promises to be an informative event.

User tip: User Setup


For Non-compliant users in The Unscrambler® X, it is recommended to create a login and identification to secure your work. It also helps in tracking the actions taken on data, through the audit trail where the user name is logged with any action. Use the menu option Help – User Setup to access the dialog and Installation guide for more details. The image below shows an example of a completed setup.

User Setup

Feature Zoom: Cross Correlation


The Descriptive Statistics in The Unscrambler® X provides some simple and effective plotting tools for gaining an overview of datasets. One plot of importance for understating how variables are related to each other is the Cross Correlation plot. This plot can be accessed from Plot menu after performing descriptive statistics for a data set. The matrix is symmetrical (the correlation between A and B is the same as between B and A) and its diagonal elements contains only values of 1, since the correlation between a variable and itself is 1. All other values are between -1 and +1. A large positive value indicates that the corresponding two variables have a tendency to increase simultaneously. A large negative value indicates an inverse relationship of the variables. A correlation close to 0 indicates that the two variables vary independently from each other.

It is recommended to use a matrix plot consisting of “bars” (used as default) or a “map” for studying cross-correlations. Examples are provided below:

Cross Correlation bar Cross Correlation map

Care must be exercised when interpreting the colour scale of the such plots; not all data sets have correlations varying from -1 to +1. The highest value will always be +1 (diagonal), but the lowest may, in some cases, never go below zero! This may occur when, in for example, process measurements where several measurements that capture similar information are studied. This may include texture or light absorbance in a narrow range. Look at the values on the color scale before reaching any conclusions! A table showing the numerical values of cross-correlation between all variables included in the descriptive statistics analysis is also available.

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