Open AccessResearch on Consume Law Prediction of Plane Tyre Based on Principal Component Regression
Author(s) -
Feng Zhang,
Bing Chen,
Wang Shouquan,
Cui Gaolun,
Guo Weibo
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1213/5/052012
Subject(s) - collinearity , principal component analysis , regression , component (thermodynamics) , regression analysis , plane (geometry) , principal component regression , linear regression , law , statistics , mathematics , econometrics , physics , geometry , political science , thermodynamics
Considering the problem of collinearity, the consume law of plane tyre is analyzed and predicted with R language statistics analysis soft based on Linear Regression. The analysis results accord with the real condition. Thus the method is proved practicably.