  Cut-and-project sets $\Sigma\subset\mathbb{R}^n$ represent one of the types
of uniformly discrete relatively dense sets. They arise by projection of a
section of a higher-dimensional lattice to a suitably oriented subspace.
Cut-and-project sets find application in solid state physics as mathematical
models of atomic positions in quasicrystals, the description of their
symmetries is therefore of high importance. We focus on the question when a
linear map $A$ on $\mathbb{R}^n$ is a self-similarity of a cut-and-project set
$\Sigma$, i.e.\ satisfies $A\Sigma\subset\Sigma$. We characterize such mappings
$A$ and provide a construction of a suitable cut-and-project set $\Sigma$. We
determine minimal dimension of a lattice which permits construction of such a
set $\Sigma$.
