  In this paper, we propose a data-driven predictive control scheme based on
measured frequency-domain data of the plant. This novel scheme complements the
well-known data-driven predictive control (DeePC) approach based on time series
data. To develop this new frequency-domain data-driven predictive control
(FreePC) scheme, we introduce a novel version of Willems' fundamental lemma
based on frequency-domain data. By exploiting frequency-domain data, we allow
recent direct data-driven (predictive) control methodologies to benefit from
the available expertise and techniques for non-parametric frequency-domain
identification in academia and industry. We prove that, under appropriate
conditions, the new FreePC scheme is equivalent to the corresponding DeePC
scheme. The strengths of FreePC are demonstrated in a numerical case study.
