mls: Multivariate Least-Squares regression
In cif: Cointegrated ICU Forecasting
mls R Documentation
Multivariate Least-Squares regression
Description
Multivariate Least-Squares regression y = x beta + u
Usage
mls(y, x, df_flag = FALSE)
Arguments
y
left hand side data matrix (one or more columns)
x
right hand side data matrix (one or more columns)
df_flag
flag = TRUE for degrees of freedom correction for the variance
Value
out regression coefficients and related statistics
Author(s)
P. Berta, P. Paruolo, S. Verzillo, PG. Lovaglio
References
Berta et al. 2020
cif documentation built on March 18, 2022, 6:14 p.m.
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| mls | R Documentation |
Multivariate Least-Squares regression
Description
Multivariate Least-Squares regression y = x beta + u
Usage
mls(y, x, df_flag = FALSE)
Arguments
y |
left hand side data matrix (one or more columns) |
x |
right hand side data matrix (one or more columns) |
df_flag |
flag = TRUE for degrees of freedom correction for the variance |
Value
out regression coefficients and related statistics
Author(s)
P. Berta, P. Paruolo, S. Verzillo, PG. Lovaglio
References
Berta et al. 2020
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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