I know that the title has contradictions. That's why I am asking.
Let $A$ be a matrix of dimensions $n \times n$. Then $A$ is orthogonal(or sometimes orthonormal) if $$ A^{T}=A^{-1} $$ However, what if $$ A^{T}=\lambda A^{-1}, \lambda\in\mathbb{R} $$ More specifically,
$$ A^{T}=det(A)^2 A^{-1}, \lambda\in\mathbb{R} $$ What kind of a matrix is that?
Motivation :
Programming reasons. I have Rotator class, which can optionally do scaling as well if the user allows it.
THE matrices you are talking about are THE matrices that preserve orthogonality in an Euclidean space; that is, if $<x,y>=0$, then $<Ax,Ay>=0$. Moreover, it's also equivalent to say that they preserve the angles or change them in their opposite.
In France, we say that a transformation associated with such a matrix is a "similitude"; it is said direct when det(A)>0 and, otherwise, it is said indirect.