The first part of the demo output shows how a linear regression model is created and trained: Creating and training model Setting SGD lrnRate = 0.001 Setting SGD maxEpochs = 200 epoch = 0 MSE = 0.1095 ...

The first part of the demo output shows how a linear regression with interactions model is created and trained: Creating Linear Regression with two-way interactions model Setting lrnRate = 0.0010 ...

When using orthogonal polynomial regression, you expect the statistics of fit to be the same and the estimates to be more stable and uncorrelated. To perform an orthogonal regression on the data, you ...

In this paper we introduce a smooth version of local linear regression estimators and address their advantages. The MSE and MISE of the estimators are computed explicitly. It turns out that the local ...

Pawełr. Pordzik, Götz Trenkler, MSE Comparisons of Restricted Least Squares Estimators in Linear Regression Model - Revisited, Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 58, ...