# S3 method for lmSubsets
variable.names(object, size, best = 1, …, na.rm = TRUE, drop = TRUE)
# S3 method for lmSelect
variable.names(object, best = 1, …, na.rm = TRUE, drop = TRUE)# S3 method for lmSubsets
formula(x, size, best = 1, …)
# S3 method for lmSelect
formula(x, best, …)
# S3 method for lmSubsets
model.frame(formula, …)
# S3 method for lmSelect
model.frame(formula, …)
# S3 method for lmSubsets
model.matrix(object, size, best = 1, …)
# S3 method for lmSelect
model.matrix(object, best, …)
# S3 method for lmSubsets
model_response(data, …)
# S3 method for lmSelect
model_response(data, …)
# S3 method for lmSubsets
refit(object, size, best = 1, …)
# S3 method for lmSelect
refit(object, best = 1, …)
# S3 method for lmSubsets
deviance(object, size, best = 1, …, na.rm = TRUE, drop = TRUE)
# S3 method for lmSelect
deviance(object, best = 1, …, na.rm = TRUE, drop = TRUE)
# S3 method for lmSubsets
sigma(object, size, best = 1, …, na.rm = TRUE, drop = TRUE)
# S3 method for lmSelect
sigma(object, best = 1, …, na.rm = TRUE, drop = TRUE)
# S3 method for lmSubsets
logLik(object, size, best = 1, …, na.rm = TRUE, drop = TRUE)
# S3 method for lmSelect
logLik(object, best = 1, …, na.rm = TRUE, drop = TRUE)
# S3 method for lmSubsets
AIC(object, size, best = 1, …, k = 2, na.rm = TRUE, drop = TRUE)
# S3 method for lmSelect
AIC(object, best = 1, …, k = 2, na.rm = TRUE, drop = TRUE)
# S3 method for lmSubsets
BIC(object, size, best = 1, …, na.rm = TRUE, drop = TRUE)
# S3 method for lmSelect
BIC(object, best = 1, …, na.rm = TRUE, drop = TRUE)
# S3 method for lmSubsets
coef(object, size, best = 1, …, na.rm = TRUE, drop = TRUE)
# S3 method for lmSelect
coef(object, best = 1, …, na.rm = TRUE, drop = TRUE)
# S3 method for lmSubsets
vcov(object, size, best = 1, …)
# S3 method for lmSelect
vcov(object, best = 1, …)
# S3 method for lmSubsets
fitted(object, size, best = 1, …)
# S3 method for lmSelect
fitted(object, best = 1, …)
# S3 method for lmSubsets
residuals(object, size, best = 1, …)
# S3 method for lmSelect
residuals(object, best = 1, …)