The original inputs are firstly mapped into a high dimensional feature space, then score vectors are calculated in high dimensional feature space so that dimensions of the sample are reduced.

• 首先把初始输入映射到高维特征空间，然后在高维特征空间中计算得分向量，降低样本的维数，再用最小二乘支持向量机进行回归。