Eigenvector Research

Pillar

Data & AI

Products & services

• **Eigenvector PLS Toolbox** A powerful tool for multivariate data analysis, particularly useful for chemometrics and other scientific applications. It enhances data interpretation and model building, allowing users to extract meaningful insights from complex datasets. Competitors include SIMCA, Unscrambler, and MATLAB's Statistics and Machine Learning Toolbox. • **Eigenvector MCR-ALS** Designed for multivariate curve resolution, this software is essential for analyzing overlapping spectral data. It provides clarity in data interpretation, enabling users to resolve complex mixtures into individual components. Competitors include MATLAB and other chemometric software that offer similar spectral analysis capabilities. • **Eigenvector Chemometrics** A suite of tools for chemometric analysis, ideal for researchers in analytical chemistry. It streamlines the process of data analysis, improving accuracy and efficiency in research outcomes. Competitors include The Unscrambler and other chemometric software solutions. • **Eigenvector Data Analysis Software** This software facilitates advanced statistical analysis and visualization of data sets. It empowers users to make data-driven decisions through comprehensive analysis and reporting features. Competitors include R, Python libraries, and other statistical analysis tools. • **Eigenvector Research Legacy Products** Includes various older software tools that are still supported and available for users needing specific functionalities. These products maintain relevance for niche applications, ensuring users have access to tried-and-true solutions. Competitors may include legacy software from other chemometric and data analysis providers.