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EigenNews and EigenViews from Barry and the Eigenvector staff.
EVRI-thing You Need to Know About Other New Features in PLS_Toolbox/Solo 9.6
Oct 2, 2026
The 9.6 version of PLS_Toolbox and Solo was released in August 2026. A 0.1 increment in the version number sounds small, but we’ve packed it with many new methods and improvements. Previous webinars in this series covered the major new tools; in this webinar we present the many smaller features and enhancements. Originally presented October […]
EVRI-thing You Need to Know About Diviner & Ensembles in PLS_Toolbox/Solo 9.6
Sep 24, 2026
Diviner, our semi-automated machine learning tools for calibration model development was released in the previous version of PLS_Toolbox/Solo. In many instances Diviner produces many quality calibration models with similar performance but different construction (preprocessing, variable selections, number of model factors). While users can certainly choose a single model it is also possible to leverage these […]
EVRI-thing You Need to Know About Volume Fractions in PLS_Toolbox/Solo 9.6
Sep 18, 2026
While many calibration data sets for mixtures are given in mass fraction, the spectroscopic method used to measure the samples actually sees volume fractions, i.e. the fractional volume of the sample occupied by each analyte. When the analytes are of different densities this leads to non-linearities between the spectral measurements and mass fractions. Converting to […]
EVRI-thing You Need to Know About PLS_Toolbox/Solo 9.6
Sep 11, 2026
EVRI-thing You Need to Know About PLS_Toolbox/Solo 9.6 This webinar provides an overview of our release of PLS_Toolbox/Solo version 9.6, Sep. 2026. This is the first of five webinars for this release, with each subsequent video providing deeper insight into selected new features. In this webinar we’ll go over all of the major new features […]
EVRI-thing You Need to Know About Lean Chemometrics in PLS_Toolbox/Solo 9.6
Sep 11, 2026
EVRI-thing You Need to Know About Lean Chemometrics in PLS_Toolbox/Solo 9.6 The 9.6 version of PLS_Toolbox and Solo was released in September, 2026. In this release we introduce a new suite of tools for Lean Chemometrics including Iterative Optimization Technology (IOT) and Indirect IOT (IIOT, aka extended IOT). These methods reduce the calibration burden for […]
EVRI-thing You Need to Know About Shift Invariant Tri-linearity for Spectral Unmixing in LC/GC-MS
Aug 12, 2025
EVRI-thing You Need to Know About Shift Invariant Tri-linearity for Spectral Unmixing in LC/GC-MS High throughput pharmaceutical experiments and -omics studies rely on spectral unmixing of large multi-sample data sets generated from hyphenated chromatography measurements. To assist in this task, PLS_Toolbox 9.3 introduced ALS_SIT, a new trilinear decomposition tool for spectral un-mixing in hyphenated chromatography that accounts […]
EVRI-thing You Need to Know About Diviner and PLS_Toolbox/Solo 9.5
Oct 4, 2024
EVRI-thing You Need to Know About Diviner and PLS_Toolbox/Solo 9.5 Diviner is our new semi-automated Machine Learning tool for accelerating the development of calibration models. Three years in development, Diviner is the centerpiece of the soon to be released PLS_Toolbox and Solo 9.5. After a preliminary automated outlier analysis, Diviner searches over preprocessing methods, regression […]
Moonset and Sunrise Manson
May 29, 2024
Moonset and Sunrise time lapse.
EVRI-thing You Need to Know About PLS_Toolbox and Solo 9.3
Jan 26, 2024
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 – […]
EVRI-thing You Need to Know About Machine Learning with Hyperspectral Images
Nov 16, 2023
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 […]
EVRI-thing You Need to Know About Gray Classical Least Squares
Mar 31, 2023
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 […]
EVRI-thing You Need to Know About Automated Hierarchical Classification Models
Mar 16, 2023
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, […]
EVRI-thing You Need to Know About PLS_Toolbox & Solo 9.2
Feb 23, 2023
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 […]
A Crash Course in Calibration Model Development Getting Models Online
Dec 8, 2022
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 […]
A Crash Course in Calibration Model Development Part 4: Optimizing Models, Saving and Documenting Models, Model Maintenance and Conclusions
Dec 7, 2022
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 […]
A Crash Course in Calibration Model Development Part 3: Building a Partial Least Squares (PLS) Regression Model
Dec 7, 2022
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 […]
A Crash Course in Calibration Model Development Part 2: Data Review, Plotting and Principal Components Analysis (PCA)
Dec 7, 2022
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 […]
A Crash Course in Calibration Model Development Part 1: Introduction, Developing a Calibration Data Set, Importing Data into PLS_Toolbox/Solo
Dec 7, 2022
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 […]
EVRI-thing You Need to Know About MLR, Ridge, LASSO and ElasticNet
Aug 25, 2022
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 […]
EVRI-thing You Need to Know About Batch Analysis
Aug 4, 2022
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 – […]