Description Usage Arguments Details Value Author(s) References Examples
ogols
can be used to calculate the values of Ordinary Generalized Ordinary Least Square Estimated values and corresponding scaler Mean Square Error (MSE) value.
1 |
formula |
in this section interested model should be given. This should be given as a |
data |
an optional data frame, list or environment containing the variables in the model. If not found in |
na.action |
if the dataset contain |
... |
currently disregarded. |
Since formula has an implied intercept term, use either y ~ x - 1
or y ~ 0 + x
to remove the intercept.
ogols
returns the Ordinary Generalized Ordinary Least Square Estimated values, standard error values, t statistic values,p value and corresponding scalar MSE value.
P.Wijekoon, A.Dissanayake
Arumairajan, S. and Wijekoon, P. (2015) ] Optimal Generalized Biased Estimator in Linear Regression Model in Open Journal of Statistics, pp. 403–411
Nagler, J. (Updated 2011) Notes on Ordinary Least Square Estimators.
1 2 3 4 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.