Abstract: The models of near-infrared spectroscopy (NIR)and the chemical components of cigarette samples were established with partial least square method (PLS), which could be used to predict the contents of these components in cigarette with its NIR. The interference of the irrelevant information while modeling was minimized by selection of wavelength of NIR, thus improved both operation speed and accuracy of the prediction.