I mean Regression Analysis under Non-parametric test

Have you tried combining your ordinally scored items into scales? Alternatively you might consider Structural Equation Modeling.

There are a few options with ordinal outcomes but also treating the predictors (IV) as ordinal is trickier. As David L Morgan noted you can do this with some SEM software. You could also use ordinal logistic regression treating the predictors as continuous, dummy coding them or treating them as monotonic (the latter only available in the R brms package as far as I'm aware https://cran.r-project.org/web/packages/brms/vignettes/brms_monotonic.html ).

Its worth noting that these are all parametric models - its just that they don't assume a normal distribution of residuals in the model.

Thom Baguley It is also quite common to do basic SEM with ordinal variables, even though it violates the assumptions by building the measurement model from less-than-interval level variables.

Se ha venido trabajando en relación a las variables, no los datos en general, no obstante, retrotraer las valoraciones por especificaciones, dese un análisis progresivo, sobre la base de un estudio de enfoque programado, comprobando los ítems por estadíos, es clave para volver a comenzar si existiera algún efecto secundario indeseado, un error, una malformación, un mal.