Classical least squares combined with spectral interval selection using genetic algorithm for prediction of constituents in pharmaceutical solid dosage forms from near infrared chemical imaging data

Abstract

A new algorithm that combines spectral interval selection using genetic algorithm and classical least squares (GA-iCLS) is presented for the prediction of the active pharmaceutical ingredients and excipients in various pharmaceutical solid dosage forms fr