Laser powder bed fusion (LPBF) is one of the most popular additive manufacturing methods, not only for the production of complex geometries, but also for the possibility of manipulating the crystallographic texture, by the use of appropriate process parameters. Moreover the transformation induced plasticity and twinning induced plasticity effects in austenitic stainless steel are known to depend on the crystallographic orientation of the grains, with respect to the loading direction. As such, tailored microstructures and mechanical behavior can be obtained in transformation induced plasticity steels by appropriate use of LPBF. The existing literature suggests that the manipulation of the crystallographic texture is closely related to the morphology of the melt pool, which forms during the scanning of the laser. Specifically, it has been found that shallow melt pools promote the formation of <100> crystallographic texture along the building direction (BD), while deeper melt pools promote the formation of <110> crystallographic texture along the BD. During our efforts to manipulate the crystallographic texture in 304L steel powders with LPBF, neutron diffraction has been seen to be a fast and reliable method to qualitatively assess the preferred crystallographic orientation along the building direction, during parametric studies. The combination of process parameters, the energy input, together with the density and texture characterization, are used in a principal component regression (PCR), to unveil clustering and trends in the optimization of the process parameters. PCR, is a statistical procedure that allows summarizing the information of multivariable problems by means of a smaller data sets that can be more easily visualized and analyzed. Neutron diffraction and PCR are seen to be a useful combination of tools, which allows unveiling the trends in the multivariable problem of the present study.