LENUTA MARIA SUTA, ANCA TUDOR,COLETTE ROXANA SANDULOVICI, LAVINIA STELEA, DANIEL HADARUGA, CONSTANTIN MIRCIOIU, GERMAINE SAVOIU BALINT MULTIVARIATE STATISTICAL ANALYSIS REGARDING THE FORMULATION OF OXICAM-BASED PHARMACEUTICAL HYDROGELS In this paper, it was analysed the influence of formulation factors over obtaining oxicam hydrogels, using the statistical analysis. Data analysis and predictive modeling by multivariate regression offers a large number of possible explanatory/predictive variables. Therefore, variable selection and dimension reduction is a major task for multivariate statistical analysis, especially for multivariate regressions. The statistical analysis and computational data processing of responses obtained from different pharmaceutical formulations, via different experimental protocols, lead to the optimization of the formulation process. It was found that the most suitable pharmaceutical formulations based on oxicams with the possibility of rapid release contained cyclodextrin, in particular 2-hydroxypropyl-b-cyclodextrin.