package oml

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type opt = float array

val opt : ?weights:float array -> unit -> opt

val default : opt

type input = float

type t

val describe : t -> string

val eval : t -> input -> float

val regress : ?opt:opt -> input array -> resp:float array -> t

val residuals : t -> float array

val coefficients : t -> float array

val residual_standard_error : t -> float

val coeff_of_determination : t -> float

val confidence_interval : t -> alpha:float -> input -> float * float

val prediction_interval : t -> alpha:float -> input -> float * float

val coefficient_tests : ?null:float -> t -> Statistics.Hypothesis_test.t array

val f_statistic : t -> float

val alpha : t -> float

val beta : t -> float

val alpha_test : ?null:float -> t -> Statistics.Hypothesis_test.t

val beta_test : ?null:float -> t -> Statistics.Hypothesis_test.t