说明：  Matlab可以使用fitrsvm创建回归支持向量机模型。fitrsvm在中低维预测变量数据集上训练或交叉验证支持向量机（SVM）回归模型。 fitrsvm支持使用内核函数映射预测变量数据，并支持通过二次编程实现目标函数最小化。要在高维数据集（即包含许多预测变量的数据集）上训练线性SVM回归模型，请改用fitrlinear。
(Matlab can use fitrsvm to create regression support vector machine model. Fitrsvm trains or cross validates the support vector machine (SVM) regression model on the medium and low dimensional prediction variable data set. Fitrsvm supports the use of kernel function mapping to predict variable data, and supports the goal function minimization through secondary programming. To train a linear SVM regression model on a high-dimensional dataset (that is, a dataset containing many predictors), use fitrlinear instead.)