This paper presents a prototype multicomponent gas and vapor analysis system consisting of eight nonselective and nonlinear Taguchi gas sensors, a temperature sensor, and multivariate calibration algorithms such as modified artificial neural networks. The application of this system to analyzing two- and three-component mixtures of benzene, toluene, acetone and trichloroethylene is demonstrated.