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The article concludes with an explanation of method Multivariate analysis tools based on the analysis of linear and non-linear equations have been used most significant to get such useful results in the context of many science studies and many more. With a sense of statistical inference, they could be associated with several purposes such as the subject of a normal method, the analysis of biological data, and so on. There is a tremendous amount of literature on PDE models for physical and chemical systems. Semiclassical analysis of some biological models is known as the basic method for analyzing of some physiochemical and biological phenomena. Many researchers use multivariate analysis applied to various applications such as biological simulation, molecular biology, physics, geofence (time series), chemistry, biology, and so on. The basic idea behind the PDE model is as follows: Lossy function representing the change in the state of an affected system, this function is: $$\begin{aligned} L(u,…, x),u\in L(x) \Rightarrow \widetilde{U}(u)=\mathbf{A}(u) \in L(u)\\ && \Leftrightarrow \forall u_1,…, u_{\mbox{length}}, \forall x, \overline{\delta}_{u_1}^{x_1}\le