Steel sheets which are widely used in various industrial applications are subjected to severe deformation for producing complex and intricate shapes. The ability of the sheet to be deep drawn is one of the most important properties in these applications. The deep drawability of the sheet metal has a direct relationship with the Lankford parameter(r-value). Two-phase steels such as duplex stainless steels consist of nearly equal volume fractions of austenite and ferrite. If the austenite phase possesses a crystallographic texture before the phase transformation, the produce ferrite phase acquires a texture that is crystallographically related to the parent phase. Several studies have reported the effect of different textures on the r-value. However, not many studies focused on the influence of orientation relationships on the r-value. In this study, we use a visco-plastic self consistent (VPSC) model to understand this influence. Using the VPSC simulations, the influence of different orientation relationships and Bain variant groups are reported in the two-phase aggregate. We also report on the effect of different microstructural features such as initial textures, grain shape and plastic flow features of individual phases.