MOF Univariate and multivariate regression

This dataset contains calibration measurements for hydrogen peroxide (H₂O₂) acquired for two complementary purposes: (1) a multivariate PLS regression, based on time-resolved signal traces of blanks and standards; and (2) a univariate calibration, based on the relationship between concentration and response (AUC minus blank). The data include blank replicates and H₂O₂ standards at multiple levels (approximately 15–65 µM), each measured in triplicate (IDs 0001–0003). The CSV is comma-separated, encoded in ISO-8859-1, and preserves special characters (e.g., the micro sign µ). Typical uses of this dataset include building and validating PLS models, fitting a univariate calibration line, teaching/benchmarking chemometric workflows, and ensuring reproducible analysis from raw tabular data.