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The functions computes regression coefficients from a linear model.
lmCoef(X, Y)rlmCoef(X, Y)l1Coef(X, Y)
rlmCoef(X, Y)
l1Coef(X, Y)
the model (design) matrix of independent variables
the vector of dependent variable (time series)
The numeric vector of regression coefficients
lm, rlm, rq
# NOT RUN { design_matrix <- matrix(rnorm(10), ncol = 2) lmCoef(design_matrix, rnorm(5)) rlmCoef(design_matrix, rnorm(5)) l1Coef(design_matrix, rnorm(5)) # }
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