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  • Software Price List
    to 4 licenses 1525 2287 5 to 9 licenses 1354 2031 10 licenses 1184 1776 Maint Extension 339 509 hide volume show volume MIA Toolbox 795 1193 PLS Toolbox 3 to 4 licenses 715 1073 5 to 9 licenses 635 953 10 licenses 555 833 Maint Extension 159 239 hide volume show volume Model Exporter 1995 2993 PLS Toolbox 3 to 4 licenses 1794 2692 5 to 9 licenses 1594 2391 10 licenses 1393 2090 Maint Extension 399 599 hide volume show volume CD of any software 20 S H 20 S H EigenU Online Courses Course Individual Enrollment Industrial Chemometrics I PCA 450 Chemometrics II Regression and PLS 450 Linear Algebra For Chemometricians 225 Matlab for Chemometricians 225 Footnotes Other Information All prices are in US Dollars S H Shipping and handling costs vary by customer location Academic is defined as a degree granting institution Research laboratories with no degree program are considered Industrial Companies associated with universities do not qualify Single computer Single user license Floating site licenses can be used by multiple users The number of seats defines the number of users who can access the software at the same time The price is listed per seat Please contact us for more information Shipping Delivery All software products are shipped electronically via web page download unless you purchase a CD of the software Documentation Electronic HTML PDF Documentation Included with every software license Student Licenses Teaching a class in which you would like to use Eigenvector Research software Contact us regarding special Student License demonstration licenses Ordering Information All Eigenvector Research software can be ordered directly from us using the web form and secure on line web payment Credit Card or Invoice orders or the address at the bottom of this page You can also request a

    Original URL path: http://eigenvector.com/pricelist.php?pricing=0 (2016-04-27)
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  • Chemometrics without Equations
    two areas of chemometrics 1 exploratory data analysis and pattern recognition and 2 regression Participants will learn to safely apply techniques such as Principal Components Analysis PCA Principal Components Regression PCR and Partial Least Squares PLS Regression Examples will include problems drawn from process monitoring and quality control predicting product properties and others The target audience includes those who collect and or manage large amounts of data that is multivariate in nature This includes bench chemists process engineers and managers who would like to extract the maximum information possible from their measurements Target Audience Chemometrics Without Equations or Hardly Any is designed for those who wish to explore the problem solving power of chemometric tools but are discouraged by the high level of mathematics found in many software manuals and texts Course emphasis is on proper application and interpretation of chemometric methods as applied to real life problems The objective is to teach in the simplest way possible so that participants will be better chemometrics practitioners and managers Course Outline 1 Introduction 1 1 what is chemometrics 1 2 resources 2 Pattern Recognition Motivation 2 1 what is pattern recognition 2 2 relevant measurements 2 3 some statistical definitions 3

    Original URL path: http://eigenvector.com/courses/CWE.html (2016-04-27)
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  • Advanced Chemometrics without Equations
    via 1 advanced preprocessing methods and 2 variable selection The critical difference between inadequate and successful chemometric models is often data preprocessing i e what is done to the data before using PCA PLS etc The goal of preprocessing is to remove variation not related to the problem of interest so that the variation of interest is more evident and can be more easily modeled The variables selected e g spectral regions can also greatly affect the success of the application ACWE focuses on advanced preprocessing methods including Extended Multiplicative Scatter Correction EMSC and Generalized Least Squares GLS for improving models Variable selection techniques such as interval PLS iPLS are also considered The effect of preprocessing and variable selection on robustness of the final models is also considered Target Audience Advanced Chemometrics Without Equations or Hardly Any is designed for those who wish to explore the problem solving power of chemometric tools but are discouraged by the high level of mathematics found in many software manuals and texts Course emphasis is on proper application and interpretation of chemometric methods as applied to real life problems The objective is to teach in the simplest way possible so that participants will be

    Original URL path: http://eigenvector.com/courses/ACWE.html (2016-04-27)
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  • Batch Multivariate Statistical Process Control for PAT - Eigenvector Research, Inc.
    run in batch mode which adds additional complexity to the process modeling problem Using chemometric models in the Process Analytical Technolgy PAT framework involves some unique considerations including regulatory compliance on line model deployment logistics and model performance monitoring Batch MSPC for PAT covers methods and strategies for dealing with this data overload and extracting critical information about process health The course covers monitoring and fault detection in batch chemical and manufacturing processes Using diagnostic plot to track down root causes is covered Implementation and deployment issues in the PAT environment are considered at length The course includes hands on computer time for participants to work example problems using PLS Toolbox Prerequisites Linear Algebra for Chemometricians MATLAB for Chemometricians or equivalent experience Chemometrics I PCA or equivalent experience highly recommended Course Outline Introduction General Principles of SPC and Fault Detection Use of Models The Multivariate Advantage A favorite tool Principal Components Analysis Some examples of PCA for MSPC Diagnostic Plots for Interpreting and Sourcing Faults PCA Scores and Loadings Q and T2 Statistics Contribution plots Theoretical basis for MSPC Time Series Models and Lagged Variables More examples Modeling Batch Processes Unfold PCA aka Multi way PCA Parallel Factor Analysis PARAFAC

    Original URL path: http://eigenvector.com/courses/EigenU_Batch_MSPC.html (2016-04-27)
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  • Calibration Transfer Course - Eigenvector Research, Inc.
    the same often make it impossible to construct a single calibration model without producing biased results on one instrument or the other Also single instruments often drift over time eventually making calibration models obsolete concernstrates on what is perhaps the most important chemometric method Principal Components Analysis This course covers methods that can be used to correct for instrument differences so that calibration models can be used across multiple instruments

    Original URL path: http://eigenvector.com/courses/EigenU_Cal_Trans.html (2016-04-27)
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  • Mass Spectroscopy Course - Eigenvector Research, Inc.
    discontinuous spectra produced by MS Hyphenated instruments such as GC MS and LC MS are also discussed Participants will learn how overlapping peaks such as resulting from GC MS can be resolved into separate peaks for each of the components and their associated single component spectra using self modeling mixture analysis The newly developed technique has the same functionality as the well known SIMPLISMA method Methods for extracting high quality mass chromatograms from complex data such as resulting from LC MS with electro spray will also be covered Methods that extract small differences between very similar samples such as different batches of the same material will also be discussed The course includes hands on computer time for participants to work example problems using PLS Toolbox Prerequisites Linear Algebra for Chemometricians MATLAB for Chemometricians or equivalent experience Students may also wish to read the following articles 1 W Windig N B Gallagher J M Saver and B M Wise A new approach for interactive self modeling mixture analysis Chemom Intell Lab Syst 77 2005 85 96 2 W Windig The use of the Durbin Watson criterion for noise and background reduction of complex Liquid Chromatography Mass spectrometry data and a new

    Original URL path: http://eigenvector.com/courses/EigenU_Mass_Spec.html (2016-04-27)
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  • Chemometrics in Metabolomics - Eigenvector Research, Inc.
    analyze metabolomics data ASCA will be explained in more detail The course will also include hands on computer time for participants to work on an ASCA problem using MATLAB and ASCA software Prerequisites Linear Algebra for Chemometricians MATLAB for Chemometricians and Chemometrics I PCA or equivalent experience Course Outline 1 0 Introduction to metabolomics 1 1 What is metabolomics 1 2 Which kind of measuring techniques are used 1 3

    Original URL path: http://eigenvector.com/courses/EigenU_Metabolomics.html (2016-04-27)
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  • Common Mistakes Course - Eigenvector Research, Inc.
    useful information Unfortunately though going from univariate to multivariate analysis does not imply that there are less pitfalls and potential problems in the data analysis In this course we will go through many of the problems that occur when analyzing and interpreting multivariate data The examples will mainly focus on the use of PCA and PLS but most of the conclusions are generally applicable The course includes hands on computer

    Original URL path: http://eigenvector.com/courses/EigenU_Common_Mistakes.html (2016-04-27)
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