A system for determining vapor pressure of a hydrocarbon fluid process stream in real time, the system comprising: a liquid flow path configured to convey the fluid process stream to at least one process stream interface; a hard analyzer communicably coupled to the process stream interface, the hard analyzer configured to generate values for vapor pressure of a sample of the fluid process stream at time increments t1, t2,... tn; one or more sensors communicably coupled to the process stream interface, the one or more sensors configured to generate one or more outputs in the form of independent variables for a sample of the fluid process stream at said time increments; a cognitive quality manager communicably coupled to the hard analyzer and the one or more sensors, the CQM including an aggregation module configured to capture and aggregate the one or more outputs and the values P generated by the hard analyzer, to form an aggregated response; the CQM configured to use the aggregated response to generate a model relating the one or more outputs to the values generated by the hard analyzer; the CQM configured to apply the model to the one or more outputs to generate a predicted value of vapor pressure of a sample of the fluid process stream at one or more times tx between said time increments, wherein the aggregation module is further configured to use the P and the one or more outputs to form a validated response; the CQM includes a database populated by the validated response, and a model engine configured to use the database to generate the model; and the model is configured to generate a predicted value of the RVP P' for a sample of the fluid process stream at the one or more times tx; wherein the CQM is further configured to generate a comparison of consecutive values of P with corresponding values of P', and to use the comparison to detect and remove transient outliers, to generate an enhanced inferred RVP value P" for the fluid process stream; wherein the comparison includes a validation of at least one of the one or more outputs, wherein the system is configured to adjust the model and/or control the fluid process stream once the one or more outputs are validated, and to determine whether to use the validated one or more outputs to adjust the model based upon at least one of an age of the validated one or more outputs and a current state of the process as compared to a state of the process at the time the one or more outputs were measured; and wherein the P and the one or more outputs used to form the validated response are acquired on the same physical sample of the process stream or on physical sub-samples thereof that are substantially identical to the process stream. a liquid flow path configured to convey the fluid process stream to at least one process stream interface; a hard analyzer communicably coupled to the process stream interface, the hard analyzer configured to generate values for vapor pressure of a sample of the fluid process stream at time increments t1, t2,... tn; one or more sensors communicably coupled to the process stream interface, the one or more sensors configured to generate one or more outputs in the form of independent variables for a sample of the fluid process stream at said time increments; a cognitive quality manager communicably coupled to the hard analyzer and the one or more sensors, the CQM including an aggregation module configured to capture and aggregate the one or more outputs and the values P generated by the hard analyzer, to form an aggregated response; the CQM configured to use the aggregated response to generate a model relating the one or more outputs to the values generated by the hard analyzer; the CQM configured to apply the model to the one or more outputs to generate a predicted value of vapor pressure of a sample of the fluid process stream at one or more times tx between said time increments, wherein the aggregation module is further configured to use the P and the one or more outputs to form a validated response; the CQM includes a database populated by the validated response, and a model engine configured to use the database to generate the model; and the model is configured to generate a predicted value of the RVP P' for a sample of the fluid process stream at the one or more times tx; wherein the CQM is further configured to generate a comparison of consecutive values of P with corresponding values of P', and to use the comparison to detect and remove transient outliers, to generate an enhanced inferred RVP value P" for the fluid process stream; wherein the comparison includes a validation of at least one of the one or more outputs, wherein the system is configured to adjust the model and/or control the fluid process stream once the one or more outputs are validated, and to determine whether to use the validated one or more outputs to adjust the model based upon at least one of an age of the validated one or more outputs and a current state of the process as compared to a state of the process at the time the one or more outputs were measured; and wherein the P and the one or more outputs used to form the validated response are acquired on the same physical sample of the process stream or on physical sub-samples thereof that are substantially identical to the process stream.