public sealed class LinearSModel : LinearModel<Series>| LinearSModel | Initializes and computes a linear regression model. |
| Original | The samples to be explained. (Inherited from LinearModelT) |
| Prediction | Predicted samples. (Inherited from LinearModelT) |
| R2 | Explained variance versus total variance. (Inherited from LinearModelT) |
| ResidualSumSquares | Gets the residual sum of squares. (Inherited from LinearModelT) |
| StandardError | Gets the standard error. (Inherited from LinearModelT) |
| TotalSumSquares | Gets the total sum of squares. (Inherited from LinearModelT) |
| TStats | Student-t statistics for the weights. (Inherited from LinearModelT) |
| Variables | The names of the samples used as predictors. (Inherited from LinearModelT) |
| Weights | Calculated weights for the predictors. (Inherited from LinearModelT) |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| ToString | Gets a textual representation of the model. (Inherited from LinearModelT) |
| ToString(String, IFormatProvider) | Gets the string representation of the autoregressive model. (Inherited from LinearModelT) |