The projection of a vector $x$ onto another vector $y$ is given by the formula:
\[
\text{proj}_y(x) = \left( \frac{x \cdot y}{\|y\|^2} \right) y
\]
In matrix notation, the dot product $x \cdot y$ is written as $x^T y$, and the squared norm of $y$ is $y^T y$.
Thus the projection vector is:
\[
\frac{x^T y}{y^T y} y
\]
Option (B) is incorrect because $x \times y$ gives a vector perpendicular to both $x$ and $y$ and has nothing to do with projection.
Option (C) still contains a cross product and is therefore incorrect.
Option (D) is the projection of $y$ onto $x$, not $x$ onto $y$.
Hence, the only correct formula is option (A).
Final Answer: $\dfrac{x^{T}y}{y^{T}y}y$