Abstract
An advanced statistical procedure for diagnosing multicollinearity between HVI fiber properties is demonstrated. The procedure consists of sequential analyses in which validation of a regression model is examined, diagnostic procedures for collinearity are demonstrated, and remedies for the problem of collinearity are proposed. This paper is presented to textile scientists in an effort to introduce new statistical techniques that should improve the performance of linear multiple regression analyses relating HVI fiber properties to yam strength.
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