JMP will always apply appropriate scaling to data automatically – centre scaling for so-called happenstance data, and orthogonal scaling for DOEs: you don’t have to make a conscious decision to apply this scaling – the reason for the post was to explain the nomenclature that this gives rise to when looking at parameter tables.
There is no adverse effect of applying this scaling other than misinterpreting the parameter estimates (i.e. it is the coefficient of the scaled value of ‘X’, not ‘X’ itself. The prediction profiler helps ensure we interpret the numerical outcomes correctly.

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