Vector optimization was conducted using linear fits of the composition -conductivity relationship to obtain weight factors for the contribution of individual elements to ionic conductivity. For an n-dimensional (number of elemental constituents) multivariate dataset 𝑿𝑿 with m observations (number of composition datasets), and another 𝑚𝑚 1 dataset y with m observations (number of ionic conductivity datapoints), the SLCA searches for the optimal 𝑑𝑑 × 1 vector 𝒘𝒘 = [𝑤𝑤 1 , 𝑤𝑤 2 … 𝑤𝑤 𝑑𝑑 ] 𝑇𝑇 (gene receipt) such that