Baseline‑correction‑regression is an npm library that implements an iterative, regression‑based algorithm for removing baseline drift from one‑dimensional signals (e.g., spectroscopy or time‑series data). It targets data‑science, chemometrics, and signal‑processing developers who need a simple, programmatic way to obtain a corrected signal, the estimated baseline, and diagnostic information such as iterations and residuals.