Abstract: This paper proposed a prediction method that is based on combing principal component analysis and support vector regression. Principal component analysis was used to select input variables. The prediction model considers all-sided influencing factors and avoids the low precision and slow training induced by over-input. The example shows that it eliminates the relevance among factors, reduces the input variables and improves the accuracy and efficiency.