The Unscrambler ® 9.5 …Powered with Multivariate Curve Resolution
…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
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
posted by Puneet Sinha at 9:07 PM
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