我是一个量子新手试图使用Java中的apache通用数学库来计算回归系数 . 我试图使用OLSMultipleLinearRegression类来估计多元线性回归模型的回归系数和残差,该模型定义了回归和y,它是[nX1]状态向量 . 观察或回归量由状态向量x定义,状态向量x也是[nX1]状态向量 . 带有样本数据的测试如下:

//n=3
double[][] y = new double[][]{{-0.03125,0.0078125,0.0.0.0,0.015625},
                           {-0.03125,0.0078125,0.0.0.0,0.015625},
                           {-0.03125,0.0078125,0.0.0.0,0.015625}};

//n=3
double[][] x = new double[][]{{+0.03195,-0.005812,0.0.0.0,0.015925},
                           {-0.03125,0.0079125,0.0.0.0,0.025625},
                           {-0.03195,0.0078825,0.0.0.0,-0.015625}};

OLSMultipleLinearRegression r = new OLSMultipleLinearRegression()
r.setNoIntercept(true)
r.newSampleData(y,x) //compiler error.

回归量x由5个独立的状态变量组成,它们在给定的时间t被捕获 . 多元回归模型将尝试使用我尝试使用如上所示的历史数据确定的回归系数来预测状态y或回归 .

如何将这种性质的数据输入模型?如果任何这些听起来微不足道或显而易见,请提前道歉,但任何帮助都会非常感激 .