Patent ID: 6341257
Filing Date: 2002-01-22
Classification: G01J

Abstract:
A method of forming a hybrid model of at least one known constituent or property in a set of samples comprising:(a) forming a classical least squares (CLS) calibration model of the at least one known constituent or property in the set of samples from reference values and measured responses to a stimulus of individual samples in the set of samples; (b) estimating a CLS prediction value of the at least one known constituent or property in the set of samples from the CLS calibration model by a CLS prediction model, wherein the CLS prediction model produces residual errors; (c) adding, as needed, spectral shapes representative of sources of signal variation not specifically modeled in step (a) to the CLS prediction model; and (d) passing the residual errors to an inverse analysis algorithm, to provide a hybrid model of the at least one known constituent or property in the set of samples.