Multivariate Data Analysis

Release the Real- Time Value in your Data

2005-11-13T21:17:00.000-08:00

The new OLUP/OLUC (End User) 1.0 is an easy-to use, plug-in product designed for end-users. The application comes equipped with unique features that make it an effective application to make predictions, optimize manufacturing processes and ensure quality control. An easy-to integrate software, this application can be inbuilt into your software to analyze, classify and predict spectral and chemometric data. In effect it helps reduce your dependency on external software and brings about cost-efficiency.

The OLUP/OLUC (End User) 1.0 enables you to optimally use The Unscrambler® software’s capabilities for your applications in product development, process control, quality control and research.

Download a 30-day Free Trial Version NOW!! ! ! !
Product Highlights

Prediction & Classification through Polling-

• Select multiple calibration models from The Unscrambler®
• Export and /or view results in XML, HTML, ASCII, MS EXCEL file formats
• Import files in JCAMP-DX and Grams file formats
• General Result File option. View predicted results in a consolidated form for easy identification
• Message Prompt. View polling status of selected configuration files
Salient Features

Packed with a host of user-friendly features, the OLUP/OLUC (End User) 1.0 enables you to utilize the full potential of The Unscrambler® software.

File Polling. Enables you to predict or classify samples online at regular intervals, by using previously developed The Unscrambler® models. The Polling mechanism, in effect, utilizes information extracted by online spectroscopic instruments and performs online prediction.

What is Prediction through File Polling?

The File Polling mechanism,

• Polls or checks specified input file at regular intervals of time (seconds)

• Loads this input file if it exists, initiates the process of prediction, stores the results in output folder and moves the already predicted input file to move the folder

In brief, File Polling can be defined as a mechanism to extract information from online Spectroscopic/ Chromatographic instruments for performing prediction.

Why Prediction through File Polling?

A highly effective tool to predict online process parameters, File Polling helps perform online prediction of process parameters like content uniformity, moisture, protein etc., at regular time intervals (sec’s) from spectroscopic / chromatographic or any other instrumental data.

Auto Pretreatments supported. The software supports auto pre-treatments/ transformations used in The Unscrambler®, like Smoothing, Moving Average, S. Golay, Normalize & Derivatives- MSC, Standard Normal Variety (SNV). This ensures that the calibration models and prediction samples have the same spectral pretreatments.

Easy Configuration. The application helps users to easily configure multiple input files (limited file formats support) into the product and perform prediction/classification. As the name indicates, the software has been designed for the end-user- YOU. Hence in configuring the software, you needn’t possess any software programming skills.

Multiple Model Selection. The software facilitates simultaneous online prediction & classification on multiple models.
Benefits

A practical and cost-effective software, organizations can experience a multitude of benefits by using the OLUP/OLUC (End User) 1.0.

Real time measurement in the product or process

Real time measurements using the software facilitate online prediction/classification of the process parameters. This helps adjust process / production parameters like Temperature,
RPM in real time in response to predicted results.

PAT (Process Analytical Technologies)

The real time prediction feature inherent in OLUP/OLUC (End User) 1.0 brings companies one step further in mastering their processes.

Quantitative Analysis and Quality Control

The OLUP/OLUC (End User) 1.0 helps release / reject raw materials and/or finished products in minimal time. This reduces the need to wait for results from the Quality Control laboratory and aids in enhancing the Quantitative Analysis and Quality Control processes.
Trace Results & Models

The inherent User log-in facility and Time stamped reports help users to keep track of the online prediction results. The features ensure that the production process parameters are in compliance with standards laid down by regulatory authorities like US-FDA, WHO etc.

Standardize & streamline formulations

The OLUP/OLUC (End User) 1.0 ensures that formulations contain a standardized, streamlined definition across the organization.
Industry Verticals

The OLUP/OLUC (End User) 1.0 helps optimize product processes in,

Pharmaceuticals Food Manufacturing Environment Petroleum
Biotechnology Chemicals Polymer &Petrochemicals Paper
Industry applications

The OLUP/OLUC (End User) 1.0 can be used effectively, across industry verticals to,

• Modify and standardize the product’s manufacturing process parameters
• Constantly monitor raw input materials and output at different locations

• Predict the ratios of commingles / composition of different constituents in the final mixture

• Predict contaminant values of pollutants in the product and process

CAMO, a leader in Multivariate statistical analysis software products, solutions and services, was established in 1984, by Dr. Arne Tyssø, in Trondheim, Norway. In 1984, Dr. Harald Martens authored The Unscrambler® software product. Backed by over two decades of experience, CAMO combines in-depth industry knowledge with proven best practices, to deliver advanced multivariate analytical software products, solutions and services that meet the unique needs of our clients.

To experience The OLUP/OLUC (End User) 1.0 further, please visit our website www.camo.com

The Unscrambler ® 9.5 …Powered with Multivariate Curve Resolution

2005-11-13T21:07:00.000-08:00

…Powered with Multivariate Curve Resolution
Introduction

Authored by Dr. Harald Martens in 1984, The Unscrambler® today is acknowledged as an industry standard, comprehensive, multivariate statistical software product. It is extensively used in research and industry for:

Exploratory Statistics, Regression Analysis, Prediction, Classification and Experimental Design

Download a 30-day Free Trial Version NOW!! ! ! !

The Unscrambler® offers powerful methods like MCR, PCA, PLS, 3-way PLS Regression and Experimental Design for your applications in product development, process control, quality control, research and projects involving analysis of small or large amounts of data.

Highlights of The Unscrambler® 9.5

A powerful multivariate software, The Unscrambler 9.5 is a stalwart version equipped with the highly popular Multivariate Curve Resolution and new data pretreatments; to make your task of data analysis, in-depth, effective and easy.

• The in-demand feature- Multivariate Curve Resolution Analysis helps resolve mixtures, determine their constituents and estimated concentrations

• A new tutorial exercise has been incorporated to guide users through the use of Extended MSC (EMSC) pretreatment and Multivariate Curve Resolution (MCR) modeling

• The powerful methods of MCR, PCA, PLSR Analysis and Experimental Design capabilities help discover patterns and relationships in data

• Enhanced Data Pretreatments- Area, Peak, Unit Vector Normalization, MSC, SNV, help preprocess multichannel data

• File-Duplicate-As 3-D data table. Converts an unfolded 2D data table into a 3D format, for modeling with 3-way PLS regression

• Forward compatibility from version 9.0. Read any data or model file built in version 9.x into any other version 9.x. (Does not apply for the new MCR models)

• The licensing system introduced supports network installations, allows floating licenses and guarantees a fast and easy delivery of your The Unscrambler® upgrades via the internet

• Easy- to- upload data features and point-and-click- ability that allow users to focus on interpretation of results rather than statistics

• Has the best graphical and visualization capability, vis-a vis other tools in the market and helps speed up research & development

• Allows for easy cut and paste transferability of various views, making it easier to develop reports and interpret results, competently

MCR- An Overview

Technical Features

Offering the most definitive analytical modeling, prediction and optimization, the key features of The Unscrambler®, include:

· Multivariate Curve Resolution

Definition : Multivariate Curve Resolution may be defined as a group of techniques which help resolve mixtures by determining the number of constituents, their response profiles (spectra, pH profiles, time profiles, elution profiles,....) and their estimated concentrations, when no prior information is available about the nature and composition of these mixtures. More…

· Principal Component Analysis (PCA)

Definition: Principal Component Analysis (PCA) is a projection method that helps you visualize all the information contained in a data table. PCA helps you find out in what respect one sample is different from another, which variables contribute most to this difference, and whether those variables contribute in the same way (i.e. are correlated) or independently from each other. It also enables you to detect sample patterns, like any particular grouping. More… (http://www.camo.com/rt/Resources/knowledge.html#9)

· Regression (MLR, PCR, PLS-R, 3-way PLS-R)

Definition: Regression is a generic term for all methods attempting to fit a model to observed data in order to quantify the relationship between two groups of variables. The fitted model may then be used either to merely describe the relationship between the two groups of variables, or to predict new values. More… http://www.camo.com/rt/Resources/knowledge.html#8

· Classification (SIMCA, PLS-DA)

Definition: Classification is useful when the response is, a category variable that can be interpreted in terms of several classes to which a sample may belong.The main goal of classification is to reliably assign new samples to existing classes (in a given population).
More… http://www.camo.com/rt/Resources/knowledge.html#2

· Prediction

Definition: Prediction (computation of unknown response values using a regression model) is the purpose of most regression applications. Prediction consists in feeding observed X-values for new samples into a regression model so as to obtain computed (predicted) Y-values.
More… http://www.camo.com/rt/Resources/knowledge.html#5

· ANOVA and Response Surface ANOVA

Definition: ANOVA may be defined as a mathematical process for separating the variability of a group of observations into assignable causes and setting up various significance tests.

· 7 design types, including Factorial designs and Mixture designs

· Raw data plots (Line, 2D scatter, 3D scatter, Normal probability, Histogram, Matrix, Matrix 3D, Fractional and Full Factorial Designs, Plackett Burman designs)

· Predefined data pretreatments and User-Defined pretreatments (programmed for example in Matlab or C++ and utilized by The Unscrambler® as a dll)
Benefits

• Incomparable graphic and visualization capability

• Facilitates easy editing and transferability of various views

• Enables effective decision making & implementation through easy to comprehend data intelligence

• Optimizes complete product life cycle concurrent with the research objectives

• Optimizes the entire data intelligence, market research and the multivariate data analysis process and interpretation

• Improves profitability by optimizing the entire product and process development life cycle

• Speeds up data analysis and R&D

• Reduces research costs and enhances ROI

• Reduces cost and time as it helps design, analyze and interpret experiments

• Is non-industry specific and has multiple applications within a variety of data intensive organizations

• Initiates greater savings and an optimal utilization of funds by reducing the number of experiments and samples required for the experiments

• Enables faster product optimizations and increased throughput, resulting in reduced development costs and greater ROI

Requirements.

To fully exploit The Unscrambler® 9.5 potential, equip your system with:

Processor: Pentium 100 MHz
Operating System: Windows 98/ 2000/XP or NT 3.51 or higher
RAM: 32 MB minimum; higher is recommended
Hard disk space: 70 MB

Application Areas

A versatile application, The Unscrambler® software supports manufacturing process analysis in:
Chemicals
Pharmaceutical
Food Processing
Pulp & Paper
Consumer Products
Agriculture Industry

CAMO, a leader in Multivariate statistical analysis software products, solutions and services, was established in 1984, by Dr. Arne Tyssø, in Trondheim, Norway. In 1984, Dr. Harald Martens authored The Unscrambler® software product. Backed by over two decades of experience, CAMO combines in-depth industry knowledge with proven best practices, to deliver advanced multivariate analytical software products, solutions and services that meet the unique needs of our clients.

To experience The Unscrambler® further, please visit our website www.camo.com