A method for preparing at least one synthetic multicomponent biotechnological and/or chemical process sample for developing multivariate calibrations for monitoring systems and/or multivariate supervisory systems of increased robustness, wherein at least one synthetic sample mimicking a dynamic process or a specific process step or a variation thereof is prepared, the method comprising the steps of: preparing historical process data of the dynamic process or the specific process step or the variation thereof to be mimicked and for which the at least one synthetic sample is to be prepared; creating a data matrix D of the historical process data; determining a plurality of main solutions of the data matrix D; determining which main solutions of the data matrix D are necessary to mimic the dynamic process or the specific process step or the variation thereof within a predetermined variance; determining the analyte composition of the necessary main solutions and the respective relative amount of the necessary main solutions with respect to the data matrix D; creating a matrix S comprising the determined analyte composition of the necessary main solutions; creating a matrix C comprising the relative amount of the necessary main solutions with respect to the data matrix D; determining whether the matrix product C x ST corresponds to the data matrix D within a predetermined tolerance; determining the relative amount of the necessary main solutions comprised in the matrix C for at least two instants of time; performing a regression between the relative amount of the necessary main solutions comprised in the matrix C and a respective time variable of the historical process data using the determined relative amount of the necessary main solutions for the at least two instants of time; estimating the relative amount of the necessary main solutions for at least one other instant of time between the at least two instants of time based on the regression; and creating an augmented time dependent matrix C aug comprising C and the estimated necessary main solutions for the at least one other instant of time, wherein the aforementioned steps are carried out on a computational unit; and wherein the method further comprises the step of: creating at least one sample by assembling the necessary main solutions according to the determined analyte composition. preparing historical process data of the dynamic process or the specific process step or the variation thereof to be mimicked and for which the at least one synthetic sample is to be prepared; creating a data matrix D of the historical process data; determining a plurality of main solutions of the data matrix D; determining which main solutions of the data matrix D are necessary to mimic the dynamic process or the specific process step or the variation thereof within a predetermined variance; determining the analyte composition of the necessary main solutions and the respective relative amount of the necessary main solutions with respect to the data matrix D; creating a matrix S comprising the determined analyte composition of the necessary main solutions; creating a matrix C comprising the relative amount of the necessary main solutions with respect to the data matrix D; determining whether the matrix product C x ST corresponds to the data matrix D within a predetermined tolerance; determining the relative amount of the necessary main solutions comprised in the matrix C for at least two instants of time; performing a regression between the relative amount of the necessary main solutions comprised in the matrix C and a respective time variable of the historical process data using the determined relative amount of the necessary main solutions for the at least two instants of time; estimating the relative amount of the necessary main solutions for at least one other instant of time between the at least two instants of time based on the regression; and creating an augmented time dependent matrix C aug comprising C and the estimated necessary main solutions for the at least one other instant of time, wherein the aforementioned steps are carried out on a computational unit; and wherein the method further comprises the step of: creating at least one sample by assembling the necessary main solutions according to the determined analyte composition.