In this paper we describe how multivariate calibration techniques including experimental design and partial least‐squares regression, PLS, can be used to determine thermal diffusivity from mirage data. In order to illustrate the utility of the theory a case study is presented where photothermal mirage data were simulated for a series of polymeric film samples. A PLS model was calculated that predicts thermal diffusivity with high precision.