ml-pca is a JavaScript library for performing Principal Component Analysis (PCA), a dimensionality reduction technique used in machine learning and data analysis. It allows users to reduce the dimensionality of datasets while retaining most of the variance, making it useful for data visualization, noise reduction, and feature extraction. This library is designed for developers and data scientists working with JavaScript who need to implement PCA in their applications, particularly those dealing with high-dimensional datasets that need to be simplified for analysis or visualization.