Abstract
The purpose of the paper is to determine a model, the soil field water capacity in accordance with soil texture. At first, multiple regression analysis has been used to determine a model. But, it was found multiple relation problem in the model because of strong relationships among the independence variables. Therefore, principle component regression analysis was applied and the problem was solved. It is known that sand, dust and clay contents play important roles on field water capacity. But, the model can not be run by multiple regression analysis because of strong relationships among sand, dust and clay. In this situation, the best way is to solve the multiple relation problem by using principle component regression analysis. Keywords: Soil Texture, Soil Field Water Capacity, Principle Component Scores, Variance Inflation Factor, Multiple Relation Problems, Principle Component Regression Analysis
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