Agricultural and Biological Sciences
8 years ago

Ridge Regression: Tackling Multicollinearity in Food Technology for Better Results.

Journal of Food Science
Ridge Regression: An Alternative to Multiple Linear Regression for Highly Correlated Data
G. J. NEWELL, B. LEE

Paper Summary

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Ridge regression is suggested as a solution for dealing with multicollinearity in food technology studies instead of multiple linear regression. This method helps address issues when data variables are highly correlated, making it easier to analyze and interpret results in food technology research.