Abstract
PurposeThe paper discusses the prediction of shirt patterns for different body sizes using multiple linear regression (MLR).Design/methodology/approach – A total of 29 pattern parameters from men's tailor‐made shirt and 34 body parameters obtained from a body scanner were designed for analysis. MLR has been applied to examine the underlying relationship between shirt pattern parameters and body measurements.Findings– Compared with formulae from the pattern expert, the prediction of shirt pattern from MLR has been improved.Originality/value – The findings could help to predict pattern size with different body sizes more accurately.
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