The principle of parsimony ( Occam's Razor)

the Principle of parsimony

- the correct explanation is the simplest explanation means

- models: few parameters as possible

- linear models preferred than non-linear models

- experiments relying on few assumptions preferred than relying on many.

- models should be pared down until they are in minimal adequate

- simple explanations should be preferred to complex explanations

The process of model simplification is an integral part of hypothesis testing in R,

a variable is retained in the model only if it causes a significant increase in deviance when its removed from the current models.

Einstein: a model should be as simple as possible. But no simplier