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This study used partial least\u2010squares regression (<jats:styled-content style=\"fixed-case\">PLSR<\/jats:styled-content>) and the recently developed bootstrapped response\u2010based imputation modelling (<jats:styled-content style=\"fixed-case\">BRIM<\/jats:styled-content>) algorithm to test for sexual dimorphism in the craniofacial shape of 1\u2010year\u2010old humans. We observed a recession of the forehead in boys relative to girls, and differences in the nose, consistent with adult dimorphism. Results also suggest that the degree to which individuals express dimorphic traits is continuous throughout the population. This is also seen in adult dimorphism but in 1\u2010year\u2010olds the amount of overlap between groups is much higher, indicating the strength of dimorphism between sexes is lower. Our results demonstrate early sexual dimorphism that is not attributable to the influx of sex hormones at puberty. This highlights the need to look at very early ontogeny for the origins of sexual dimorphism. We suggest that future work look at potential mediating effects of this early dimorphism on the later impact of puberty. The subtle shape differences we have detected, may also be applied to sexing fossilised crania. A common artefact in 3D images of faces of young children is that they often have their mouths open to varying degrees, introducing variability in the data unrelated to anatomy. We describe two <jats:styled-content style=\"fixed-case\">PLSR<\/jats:styled-content>\u2010based methods of correcting this. 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