I'm looking for an easier proof of the identity (attributed to K. F. W. Rohn) $$R_n(\bar{x}):=\det_{1\leqslant i,j\leqslant n}\left\{\frac{x_i-x_j}{x_i+x_j}\right\}=\prod_{i<j}\left(\frac{x_i-x_j}{x_i+x_j}\right)^2,$$ where $\bar{x}:=(x_1,\ldots,x_n)$ and $n$ is even (if $n$ is odd then clearly $R_n(\bar{x})=0$).
This identity is used in the end of this answer of mine.
The proof I have (see my own answer below) obtains it from the formula for $$D_n(\bar{x},\bar{y},\bar{z}):=\det_{1\leqslant i,j\leqslant n}\left\{\frac{x_i+z_j}{x_i+y_j}\right\}$$ found by H. J. A. Duparc; this time, $n$ is not necessarily even.
But it looks convoluted. I don't have access to Rohn's works - did he have simpler arguments?..
One can prove the identity with induction on the dimension $n$, using elementary transformations on the determinant.
The identity holds for $n=0$, with the empty product and the empty determinant both being equal to $1$.
For the induction step $n \to n+2$ we compute $$ R_{n+2}(x_1, \ldots, x_n, a, b) = \begin{vmatrix} q(x_1, x_1) & \cdots & q(x_1, x_n) & q(x_1, a) & q(x_1, b) \\ \vdots & \ddots & \vdots &\vdots &\vdots \\ q(x_n, x_1) & \cdots & q(x_n, x_n) & q(x_n, a) & q(x_n, b) \\ q(a, x_1) & \cdots & q(a, x_n) & 0 & q(a, b) \\ q(b, x_1) & \cdots & q(b, x_n) & q(b, a) & 0 \end{vmatrix} $$ where I have used $$ q(x, y) = \frac{x-y}{x+y} $$ to shorten the expressions a bit. We add multiples of the last two rows to the first $n$ rows to eliminate the last two entries in those rows. This gives $$ R_{n+2}(x_1, \ldots, x_n, a, b) = \begin{vmatrix} d_{1,1} & \cdots & d_{1,n} & 0 & 0 \\ \vdots & \ddots & \vdots &\vdots &\vdots \\ d_{n,1} & \cdots & d_{n,n} & 0 & 0 \\ * & \cdots & * & 0 & q(a, b) \\ * & \cdots & * & q(b, a) & 0 \end{vmatrix} $$ with $$ d_{i,j} = q(x_i, x_j) - \frac{q(x_i, a)q(b,x_j)}{q(b, a)} - \frac{q(x_i, b)q(a,x_j)}{q(a, b)} \, . $$ Now the magic (?) happens: This expression simplifies to $$ d_{i,j} = q(x_i, a)q(x_i, b)q(x_j, a)q(x_j, b)q(x_i, x_j) \, . $$
The common factors $q(x_i, a)$ and $q(x_i, b)$ can be extracted from each row and each column in $ \det \{ d_{i,j} \}$, and it follows that $$ R_{n+2}(x_1, \ldots, x_n, a, b) = \det \{ d_{i,j} \} q(a, b)^2 \\ = \det \{ q(x_i, x_j) \}\left(\prod_{i=1}^n q(x_i, a)^2 q(x_i, b)^2\right) q(a, b)^2 \\ = R_{n}(x_1, \ldots, x_n)\left(\prod_{i=1}^n q(x_i, a)^2 q(x_i, b)^2\right) q(a, b)^2 \, , $$ which is exactly the induction step.