Multivariate Calibration Using Covariance Adjustment

In this paper we treat linear calibration of multivariate chemical measurement instruments. Two new calibration methods for multicollinear spectral data are proposed. The methods are compared with established predictors on a set of data. The data consists of measurements of fat in fish meat and near infrared (NIR) reflectance measurements. The new methods give improvements compared with the established ones.