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  Multi-response linear regression estimation based on low-rank pre-smoothing (Tian, Gibberd, Nunes et al) Pre-smoothing is a technique aimed at increasing the signal-to-noise ratio in data to improve subsequent estimation and model selection in regression problems. However, pre-smoothing h