Abstract: Quantitative structure-affinity relationships were applied by multiple linear regression (MLR) analysis for a series of 21 monoazo dyes. Calculated 0D, 1D and 2D structural dye features were correlated to their affinity for cellulose. Variable selection was performed by the genetic algorithm. Good correlations with dye affinity and models with predictive power were obtained. Electrostatic interactions are favorable and hydrophobic disfavorable for dye binding on cellulose.