1. A method for classifying unknown fabric samples, comprising: collecting spectral data of an unknown fabric sample to give unknown spectral data; and using a known standard representing known fabric types and soft independent modeling of class analogy (“SIMCA”) to classify the unknown fabric sample into either one or more of the known fabric types or a type of unknown origin.