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The View from Eigenvector

EigenNews and EigenViews from Barry and the Eigenvector staff.

The View from Eigenvector

EVRI-thing You Need to Know About PLS_Toolbox and Solo 9.3

Jan 26, 2024
EVRI-thing You Need to Know About PLS_Toolbox and Solo 9.3

Version 9.3 includes new routines for temperature compensation in CLS models, Linear Discriminant Analysis, Shift Invariant Trilinearity and much more. Table of Contents 00:00 – Introduction and Outline 03:03 – Alternating Least Squares Shift Invariant Trilinear Models 06:46 – Shapley Values 14:23 – Classical Least Squares Temperature Interpolated 24:44 – Linear Discriminant Analysis 32:55 – […]

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EVRI-thing You Need to Know About Machine Learning with Hyperspectral Images

Nov 16, 2023
EVRI-thing You Need to Know About Machine Learning with Hyperspectral Images

Learn how to analyze hyperspectral images with non-linear machine learning methods like ANNs, XGBoost and UMAP in this free webinar. The Art Image Dataset can be found here. Table of Contents 00:00 – Introduction and Outline 02:55 – Multivariate and Hyperspectral Images 04:55 – Matricizing 06:05 – Working with Images 06:40 – Mississippi Landsat Image […]

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EVRI-thing You Need to Know About Gray Classical Least Squares

Mar 31, 2023
EVRI-thing You Need to Know About Gray Classical Least Squares

The Gray Classical Least Squares models in PLS_Toolbox/Solo 9.2 combine the interpretability of CLS with the predictive ability of PLS regression. In this webinar we go over the benefits of the Gray CLS model and show how to develop them, including cross-validation to find the best model parameters. Table of Contents 00:00 – Introduction and […]

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EVRI-thing You Need to Know About Automated Hierarchical Classification Models

Mar 16, 2023
EVRI-thing You Need to Know About Automated Hierarchical Classification Models

The recently released PLS_Toolbox and Solo version 9.2 includes many improvements and additions, but perhaps the most exciting is the Hierarchical Model Automatic Classifier (HMAC) tool. The HMAC automatically creates a decision tree of Partial Least Squares Discriminant Analysis (PLS-DA) models for complex classification problems. It is based on the recently published AHIMBU method (Marchi, […]

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EVRI-thing You Need to Know About PLS_Toolbox & Solo 9.2

Feb 23, 2023
EVRI-thing You Need to Know About PLS_Toolbox & Solo 9.2

Version 9.2 includes new methods for automatically creating complex classification models, determining meta-parameters in Grey-CLS and much more. Table of Contents 00:00 – Introduction and Outline 03:05 – Biplots 05:54 – Extended Correlation Mapping in Analysis interface to the y-block 08:28 – Y-block scores for PLS, PLSDA, and N-PLS models 12:01 – Gray CLS 24:56 […]

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A Crash Course in Calibration Model Development Getting Models Online

Dec 8, 2022
A Crash Course in Calibration Model Development Getting Models Online

More than just developing a regression model, quality calibrations start with planning for data collection and end with online deployment. The process is covered start to finish in this free webinar. In this addendum to the course we discuss how models can be implemented online for automated predictions. Model implementation with Solo_Predictor and Model_Exporter are […]

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A Crash Course in Calibration Model Development Part 4: Optimizing Models, Saving and Documenting Models, Model Maintenance and Conclusions

Dec 7, 2022
A Crash Course in Calibration Model Development Part 4: Optimizing Models, Saving and Documenting Models, Model Maintenance and Conclusions

More than just developing a regression model, quality calibrations start with planning for data collection and end with online deployment. The process is covered start to finish in this free webinar. In this fourth part of “A Crash Course in Calibration Model Development” we discuss optimizing models with preprocessing and variable selection, saving and documenting […]

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A Crash Course in Calibration Model Development Part 3: Building a Partial Least Squares (PLS) Regression Model

Dec 7, 2022
A Crash Course in Calibration Model Development Part 3: Building a Partial Least Squares (PLS) Regression Model

More than just developing a regression model, quality calibrations start with planning for data collection and end with online deployment. The process is covered start to finish in this free webinar. In this Part 3 of this course we show how to develop a model with Partial Least Squares regression using PLS_Toolbox or Solo. Download […]

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A Crash Course in Calibration Model Development Part 2: Data Review, Plotting and Principal Components Analysis (PCA)

Dec 7, 2022
A Crash Course in Calibration Model Development Part 2: Data Review, Plotting and Principal Components Analysis (PCA)

More than just developing a regression model, quality calibrations start with planning for data collection and end with online deployment. The process is covered start to finish in this free webinar. In this second part we discuss reviewing data by plotting and using Principal Components Analysis (PCA) to screen data for outliers and find interesting […]

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A Crash Course in Calibration Model Development Part 1: Introduction, Developing a Calibration Data Set, Importing Data into PLS_Toolbox/Solo

Dec 7, 2022
A Crash Course in Calibration Model Development Part 1: Introduction, Developing a Calibration Data Set, Importing Data into PLS_Toolbox/Solo

More than just developing a regression model, quality calibrations start with planning for data collection and end with online deployment. The process is covered start to finish in this free webinar. In this Part 1, we introduce Chemometrics and Machine Learning, discuss how to develop a calibration data set, and show how to import data […]

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EVRI-thing You Need to Know About MLR, Ridge, LASSO and ElasticNet

Aug 25, 2022
EVRI-thing You Need to Know About MLR, Ridge, LASSO and ElasticNet

Multiple Linear Regression goes wrong when used with ill-conditioned data. Find out how to fix it with Ridge Regression, LASSO and ElasticNet. Table of Contents 00:00 – Introduction and Outline 01:48 – Inverse Least Squares models 02:46 – Multiple Linear Regression 04:45 – Example: Slurry-Fed Ceramic Melter 11:24 – Ridge Regression 24:16 – Least Absolute […]

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EVRI-thing You Need to Know About Batch Analysis

Aug 4, 2022
EVRI-thing You Need to Know About Batch Analysis

Many pharmaceuticals and fine chemicals are made in batch processes. Learn how to model data from batches for monitoring and analysis. Table of Contents 00:00 – Introduction 01:28 – Fault Detection 02:36 – PCA for Multivariate Statistical Process Control 06:20 – Batch Process Control Data Problems 09:08 – Summary Variables 11:55 – Pseudo-steps 13:38 – […]

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EVRI-thing You Need to Know About Modeling Fluorescence EEM Data

Feb 22, 2022
EVRI-thing You Need to Know About Modeling Fluorescence EEM Data

Learn how to use the multi-way analysis tools such as PARAFAC in PLS_Toolbox & Solo to model fluorescence excitation emission (EEM) data. Table of Contents 00:00 – Introduction and Outline 03:28 – EEM Spectrometry 10:05 – Multi-way data aka tensor data 12:07 – PARAFAC Can unmix Mixtures 43:40 – More Details 58:00 – Summary

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EVRI-thing You Need to Know About ANN Options in PLS_ToolboxSolo

Jan 24, 2022
EVRI-thing You Need to Know About ANN Options in PLS_ToolboxSolo

Learn about the Artificial Neural Network (ANN) methods available in PLS_Toolbox and Solo. Table of Contents 00:00 – Introduction and Outline 01:40 – ANN Options in PLS_Toolbox/Solo 04:06 – Artificial Neural Network (ANN) 09:48 – Scikit-Learn/ Tensorflow and New ANN Methods 11:07 – Python Configuration 13:35 – Scikit-Learn 18:06 – Tensorflow 23:40 – Calibration time […]

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EVRI-thing You Need to Know About t-SNE & UMAP in PLS_Toolbox/Solo

Jan 6, 2022
EVRI-thing You Need to Know About t-SNE & UMAP in PLS_Toolbox/Solo

PLS_Toolbox and Solo version 9.0 include two relatively new data visualization methods, t-distributed Stochastic Neighbor Embedding (t-SNE) and Uniform Manifold Approximation and Projection (UMAP). These routines, from the scikitlearn library for Python, can now be found in our interfaces (and for PLS_Toolbox, also at the MATLAB® command line). We will introduce these methods and show […]

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Gray Classical Least Squares (CLS) with GLSW filter

Dec 17, 2021
Gray Classical Least Squares (CLS) with GLSW filter

PLS_Toolbox and Solo 9.0 include the ability to make Gray Classical Least Squares (CLS) models. This is a CLS model that uses Generalized Least Squares Weighting (GLSW) or External Parameter Orthogonalization (EPO) filter data based on the residuals of a preliminary CLS model. This video shows how to use this functionality in the new PLS_Toolbox […]

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EVRI-thing You Need to Know About PLS_Toolbox & Solo 90

Dec 17, 2021
EVRI-thing You Need to Know About PLS_Toolbox & Solo 90

Version 9.0 includes new methods for data visualization and machine learning and a host of other improvements. Learn how to access them in this free webinar. See these addendum videos for additional examples not covered in the first video: Gray Classical Least Squares (CLS) with GLSW filter Table of Contents 00:00 – Introduction and Outline […]

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Python Configuration for Solo

Oct 7, 2021
Python Configuration for Solo

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Python Configuration for PLS_Toolbox

Sep 24, 2021
Python Configuration for PLS_Toolbox

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EVRI-thing You Need to Know About TrendTool for Exploring Ordered Data

Jul 13, 2021
EVRI-thing You Need to Know About TrendTool for Exploring Ordered Data

Many chemical and biological data sets are logically ordered by an axis variable such as time, space, or wavelength. In this webinar we will show how to explore these data sets using TrendTool, a utility that is available in Eigenvector’s MATLAB based PLS_Toolbox and stand-alone Solo software. TrendTool can be used, for example, to find […]

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