Your $S$ is just a set, unless you define the vector space operations and the scalar multiplication. There is an obvious definition for this set which will make it a two dimensional $S$ vector space, namely by defining addition as
$$((a_1, a_2), (b_1, b_2)) \mapsto (a_1+a_2, b_1+b_2)$$
and scalar multiplication by
$$(\lambda,(a_1, a_2))\mapsto (\lambda a_1, \lambda a_2)$$
with $\lambda, a_i , b_i\in R$.
But if, e.g., $R= \mathbb{R}$ you can make the set $S$ a one dimensional complex vector space if you define the operations appropriately. Addition would be the same, but multiplication would be defined as
$$(z, (a_1, a_2) )\mapsto (z_1a_1-z_2a_2, z_1a_2 + z_2a_1)$$
for $z\in \mathbb{C}$ and $a_i\in \mathbb{R}$. (This is just the complex product of $z_1+iz_2$ with $a_1+ia_2$ written down component wise). With this definition of scalar multiplication the set $S$ is then a one dimensional complex vector space.