Latent Root Regression: An Alternate Procedure for Estimating Parameters in the Presence of Multicollinearity
作者向营销领域介绍了一种名为“潜在根回归”的偏估计方法，用于处理多重共线性问题。营销数据常受多重共线性困扰，常用方法是岭回归。潜在根回归不仅能提供稳定估计，还能判断偏估计是否适用。作者用已发表的营销数据演示了该方法的应用。
Marketing data are almost always plagued by multicollinearity. The most popular approach to addressing the problem is ridge regression which is one of the biased estimation procedures. The authors introduce to marketing a relatively new biased estimation procedure called “latent root regression.” This procedure, unlike other biased estimation procedures, not only provides stable estimates in the presence of multicollinearity, but also provides a measure for determining whether or not a biased estimation procedure is appropriate. The use of latent root regression is illustrated with previously published marketing data.