Relyon: a graphical user interface for multivariate regression
Relyon performs various chemometric calculations, such as Combinatorial Order Preprocessing Search (COPS), Ordered Predictor Selection (OPS), and Partial Least Squares (PLS).
This app optimizes data pre-processing using COPS, performs variable selection using OPS, and then builds a multivariate regression model using PLS. The built model can make predictions from data whose properties are to be known.
Relyon can currently be run on Windows.
Paper here:
https://doi.org/10.1016/j.compchemeng.2024.108892
Download App here:
Relyon – Preprocessing Optimization Interface

Spreadsheets for calculations of experimental designs (DoE)

Here are user-friendly spreadsheets designed for experimental design calculations. Developed in Excel, these spreadsheets are versatile and easy to use, supporting a variety of experimental designs. They are ideal for students, researchers, and professionals, as they simplify data input, visualization, and interpretation, making chemometrics more accessible. Feel free to explore and customize these tools to meet your research needs!

Paper here: DOI
Download spreadsheets here.

Ordered Predictors Selection (OPS)
OPS package offers versatile algorithms (autoOPS, feedOPS, iOPS) for efficient variable selection in multivariate regression. It enhances model predictability, interpretability, and reproducibility across diverse datasets. OPS is easy to use and simplifies variable selection, making it a powerful tool for chemometric applications. Available for MATLAB, it’s ideal for improving regression models and searching for important variables in large data sets. OPS is also available in Relyon software.
Papers here: DOI1, DOI2
Download the algorithm package here.

Relyon HSI Analyser (RHSI)
RHSI is a package for performing hyperspectral imaging (HSI) analysis. Available for MATLAB, it’s ideal for different types of preprocessing, plotting, and organizing hyperspectral images.
Papers here: DOI1, DOI2
Download the algorithm package here.