The work aims to objectively evaluate the quality of inkjet paper and analyze the objective data of seven different printing papers. The objective data of different high-gloss color inkjet papers were analyzed by the Matlab software to establish a projection pursuit (PP) model. After the projection value and the best projection direction were obtained, a comprehensive evaluation was carried out. The projection values of the seven kinds of printing papers, i.e. the quality of the printing papers was respectively (0.7775, 1.6099, 0.5813, 0.5717, 1.2935, 0.5401, 0.5798), indicating that the quality of 2# printing paper was the best, and the quality of 6# printing paper was the worst. The best projection direction of the evaluation index was (0.7372, 0.0601, 0.0073, 0.3228, 0.4980, 0.051 23, 0.2246, 0.2114, 0.0575), sorted as follows: color density > dot roundness > color gamut area > ink color uniformity > color line bleeding > printing contrast tone copy curve slope > text area > line width > color difference, which indicated that, in the index system, the color density had the greatest influence on the quality of the printing paper. When the quality of the printing paper was evaluated, the color density could be used as a parameter index for priority evaluation. The sorting result of the projection value obtained based on the projection pursuit model is consistent with that of the correlation degree calculated by the gray evaluation model.