pls-regression

Source repository for the open-access, free book Process Improvement using Data.

PLS regression for Categorical and Scalar Functional Data. Developed for PhD research in collaboration with Decathlon and INRIA.

MATLAB-based QCM impedance signal processing and multivariate calibration for glycerol concentration estimation in flow injection experimental data

Python pipeline for in/on-line UV-Vis monitoring of hydrometallurgical NdFeB magnet recycling. It predicts Nd(III) and Pr(III) concentrations with PLS regression and classifies Fe(III) as High or Low with PLS-DA, from absorbance spectra of chloride and nitrate leachates.

Predicting sand, silt and clay from VisNIR soil spectra. Shows that the choice of validation costs 5× more accuracy than the choice of sensor.

Bu projedeki amaç bir şirketin kısa vadeli borçlarını ödeyebilme kapasitesini gösteren metriğin aşağıda açıklanmış belirli bağımsız değişkenlere göre bir doğrusal regresyon modeliyle tahmin edilmesidir.

Code from the paper Over the Stable Space of a Multivariate Time Series

Grape bunch ripeness estimation via hyperspectral imaging

Multi target prediction of nutrients for smart agriculture.