A simple, nonlinear least-squares method is described that permits gas thermometry data to be fitted directly to absolute zero. This nonlinear method can be implemented using Solver in Excel, and unlike other linear methods previously reported, it is statistically sound. The Excel macro SolverAid can be used to compute the error in absolute zero. The method can be applied simultaneously to multiple sets of data, permitting a global value of absolute zero to be computed from different gas samples. Constant volume thermometry data for helium are used to illustrate the global fit to absolute zero using Solver in an Excel spreadsheet. The relationship between the global value of absolute zero and the values from the individual fits is analyzed.