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13. AB3STPACT ('AuZm,cc wrs) This thesis describes research involving Quantitative Structure-Retention Relationships (QSRR). This research utilizes applied mathematics, multivariate statistics and computational techniques for determining models of retention behavior. The methodology is based upon the fact that there is a relationship between a compound's molecular structure and its chromatographic retention behavior. Linear models are created relating the observed retention data to a set of descriptors which numerically encode structural information. The regression models are validated to ensure their credibility. The first study generated regression equations modeling gas chromatographic retention behavior of polychlooinated dibenzodioxins for non-polar, moderately polar, and polar stationary phases. Extremely accurate predictive models were validated and predictions made where no experimental data existed. The second study involved the complete set of polychlorinated dibenzofurans. Linear regression models were developed relating retention behavior on five chromatographic columns to descriptors whicl encoded the structural information. These models were then used to Predict unknown retention data. 14. SUB.,CT TE AMS iS. NUMBER OF PAGES 156 Dibenzodioxins, dibenzofurans, gas chromatographic retention, 16. PRICE CCO