Excat linearization : why is v = y^(r) linear?

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I am trying to understand exact linearization (feedback linearization). Through an intelligent input $u$, the output is transformed into a set of integrations:

$$v=y^{(r)},$$ where $r$ is the rth derivative of $y$

I don't see why $y$ is then linear with respect to $v$?