A formula for transforming a matrix into its row-reduced echelon form (RREF) is not straightforward, as it typically involves a series of elementary row operations. The expression $E_A = E_r E_{r-1} \cdots E_1 A$ represents the RREF of a matrix $A$, where $E_1,\ldots,E_r$ are the matrices for each operation. While the function $\operatorname{rref}(A)$ is available in software like MatLab and Octave, and $\operatorname{RowReduce}$ in Mathematica, these methods are based on Gaussian elimination, which can be prone to rounding errors. In practice, RREF is often not used directly; instead, more suitable solution methods are employed depending on the specific problem. Understanding these nuances is essential for effectively applying matrix transformations.