Factor analysis is the most important for quality control in the manufacturing industry.Therefore, experimental design methods and multivariable analysis are used, but these techniques assume a simple model.However, it is not appropriate to analyze complex phenomena.SEM has been added to JMP16 as a method for analyzing complex phenomena.However, SEM is very complex to operate.Therefore, I feel that the difficulty is high.As a preprocessing, we believe that a method that can analyze the data as it is necessary.For example, glasso, LiNGAM, Bayesian-Networks.I think these techniques are also useful for many companies.