ols: Ordinary Least Squares
In Marga8/HDGCvar: Granger Causality Testing in High Dimensional Vector Autoregressive Models
ols R Documentation
Ordinary Least Squares
Description
Perform least squares of y on x. Returns a list with the coefficients, t statistics, p values and
residual vector.
Usage
ols(y, x)
Arguments
y
vector dependent variable
x
a vector or matrix of regressors
Value
coefficients, fitted values, standard errors, t statistics, p values, residuals
Marga8/HDGCvar documentation built on May 25, 2024, 11:12 a.m.
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| ols | R Documentation |
Ordinary Least Squares
Description
Perform least squares of y on x. Returns a list with the coefficients, t statistics, p values and residual vector.
Usage
ols(y, x)
Arguments
y |
vector dependent variable |
x |
a vector or matrix of regressors |
Value
coefficients, fitted values, standard errors, t statistics, p values, residuals
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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