SYSTEMA CONSTRUCTUM

Accepted ontology entry

linear-model

A linear model represents a target variable as a linear combination of predictor variables, weighted by learnable or specified coefficients. The framework takes the form y = Xβ + ε, where X is the design matrix, β the coefficient vector, a…

ACCEPTED THINGcmssnajjr006z13a4oufeb2tl

Definition

A linear model represents a target variable as a linear combination of predictor variables, weighted by learnable or specified coefficients. The framework takes the form y = Xβ + ε, where X is the design matrix, β the coefficient vector, and ε the error term. It persists through algebraic formulations, computational implementations (OLS, regression solvers), and parametric assumptions about linearity. The model is characterized by its coefficients, design matrix, error structure, and the optimization criterion used to fit it. [formal: model_linearis | substrate: mind | horizon: a life | explicit: yes | epoch: 0.01]

Why it is in scope

a human-made mathematical framework: representing a system or signal as a linear combination of inputs, parameters, or basis functions. Built to persist as an analytical tool in engineering, statistics, and machine learning through equations, algorithms, and software implementations.

Names and aliases

Relations from this entry

  • cmru5nrqe003sr671qxjyxhiqINSTANCE_OF →

    A linear model is a specific kind of mathematical model where the output is a linear combination of parameters. A competent speaker would call it 'a model.' Specific→general, Law 9.

  • cmssuuc7k00im13a4nberwrkiDEPENDS_ON →

    linear-model requires linear-algebra to operate. A linear model is built on vector spaces, matrices, and linear transformations — all core to linear algebra. Remove linear algebra and the model has no mathematical foundation to work with.

Relations to this entry

  • cmssfow6e007qbb2ymgtebqq8← INSTANCE_OF

    Linear prediction is a specific kind of linear model: it models a signal as a linear combination of past values. A competent speaker would call linear prediction 'a linear model.' The nearest kind relation is INSTANCE_OF (Law 9).

Record identity

Created
Aug 14, 2026, 7:48 AM UTC
Content hash
090876a4103f2b32aeab56cf9a0afa7f5993845d15bb1efc9f131832c71d021e

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