tidymod_lm_matrix: OLS estimation - Matrix
In elben10/tidymodelR: Statistical modelling and testing
Description
Usage
Arguments
Value
Examples
Description
The function conduct the very common OLS estimation, which minimizes the sum of squared residuals.
Usage
1
tidymod_lm_matrix(X, Y, ...)
Arguments
X
is the covariate matrix, which contains all explanatory variables. Has to be a matrix or be convertible
with as.matrix()
Y
is the explained variable. Has to be numeric or be convertible with as.numeric()
Value
A list is returned containing the following elements coefficients, standard errors,
degrees of freedom, variance-covariance matrix, fitted values, residuals, data used in the regression,
the call, the intercept and the formula
Examples
1
tidymod_lm_matrix(mtcars[,2:3], mtcars[,1])
elben10/tidymodelR documentation built on May 14, 2019, 8:34 a.m.
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Description Usage Arguments Value Examples
Description
The function conduct the very common OLS estimation, which minimizes the sum of squared residuals.
Usage
1 | tidymod_lm_matrix(X, Y, ...)
|
Arguments
X |
is the covariate matrix, which contains all explanatory variables. Has to be a matrix or be convertible with as.matrix() |
Y |
is the explained variable. Has to be numeric or be convertible with as.numeric() |
Value
A list is returned containing the following elements coefficients, standard errors, degrees of freedom, variance-covariance matrix, fitted values, residuals, data used in the regression, the call, the intercept and the formula
Examples
1 | tidymod_lm_matrix(mtcars[,2:3], mtcars[,1])
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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