---
title: "mlab-ext-nist-datasets — Mova code model"
description: "Mova code model of mlab/tests/ext_nist.rs: components with their labels, obernants and the model text."
url: "https://groupants.elamur.ai/free/en/mova/mlab/tests/ext_nist.rs.groupant/datasets.groupant/"
---
Elamur: [Mova](https://md.mova.elamur.ai/free/en/) · [Dictionary](https://md.dictionary.elamur.ai/free/en/) · [Research](https://md.research.elamur.ai/free/en/) · **Groupants**

This page as HTML: <https://groupants.elamur.ai/free/en/mova/mlab/tests/ext_nist.rs.groupant/datasets.groupant/>

# mlab-ext-nist-datasets

The groupant beside mlab/tests/ext_nist.rs in the Mova repository: what the code computes, what it never does, how to go back from its outputs, its invariants, cost and checks.

## Facts

- **kind:** groupant_fragment
- **status:** partial source bound model
- **source:** [`mlab/tests/ext_nist.rs`](https://github.com/ElamurAI/mova-free/blob/main/mlab/tests/ext_nist.rs)
- **source SHA-256:** `82ac1127de001872…`
- **covers:** lls_case builds intercept/polynomial/multi-predictor design and checks fitlm plus backslash output length; ANOVA expects9 outputs and exact df; univ computes autocorrelation. suite aggregates threshold failures; detail env affects printing only. (bytes 3002–11615)
- **part of:** [mlab-ext-nist](https://md.groupants.elamur.ai/free/en/mova/mlab/tests/ext_nist.rs.groupant/)
- **repository folder:** [`mlab/tests/ext_nist.rs.groupant/datasets.groupant`](https://github.com/ElamurAI/mova-free/tree/main/mlab/tests/ext_nist.rs.groupant/datasets.groupant)
- **repository commit:** `855da7bd4a7b`

> **Implementation material.** A Mova code model describes this code at one source revision: partial models, finite checks and their stated scope. It is not a reviewed general exposition, and its labels are shown as written, never raised.

## Components

| component | label | where |
|---|---|---|
| **approximant** | partial | [approximant](#approximant) |
| **ast** | partial | `../syntax.json` |
| **cost** | symbolic source derived | [invariant](#invariant) |
| **descriptant** | present | [descriptant](#descriptant) |
| **invariant** | partial | [invariant](#invariant) |
| **tests** | partial bounded parent evidence | [tests](#tests) |

## Obernants

The typed relations around the forward model: the behaviour complement (what the code never does), the reverse reconstruction (every input compatible with an output) and specialised views.

| id | type | label | where |
|---|---|---|---|
| `behavior_complement` | behavior_complement | partial source derived model | [behavior_complement](#behavior-complement) |
| `reverse_reconstruction` | reverse_reconstruction | partial source derived model | [reverse_reconstruction](#reverse-reconstruction) |
| `design_transport` | design_transport | partial source derived model | [design_transport](#design-transport) |
| `effect_boundary` | effect_boundary | partial source derived model | [effect_boundary](#effect-boundary) |
| `branch_relation` | branch_relation | partial source derived model | [branch_relation](#branch-relation) |
| `resource_cost` | resource_cost | partial source derived model | [resource_cost](#resource-cost) |

## Model text


### descriptant

#### mlab-ext-nist-datasets

lls_case builds intercept/polynomial/multi-predictor design and checks fitlm plus backslash output length; ANOVA expects9 outputs and exact df; univ computes autocorrelation. suite aggregates threshold failures; detail env affects printing only.

Epoch 2026-10-31: isolated source-bound fragment over bytes [3002,11615); includes no claim beyond this relation. Source hash 82ac1127de001872692aa31cc92c6bf01f367afe18cfbd08941641a96851256c.

### approximant

#### datasets: forward relation

lls_case builds intercept/polynomial/multi-predictor design and checks fitlm plus backslash output length; ANOVA expects9 outputs and exact df; univ computes autocorrelation. suite aggregates threshold failures; detail env affects printing only.

Domain: Well-formed one-based header spans and bounded synthetic data; frozen certified datasets unexecuted.

Executable surrogate gap: no measured cheaper implementation with a useful scoped metric is supplied. Categorical/error/effect relations are exact obligations, not percent losses. Future numeric caps only1/2/5/10%.

### invariant

#### datasets: invariant and cost

One predictor degree depends on count of certified coefficients and B0; multiple predictors use original columns; no-intercept starts power1.

read accesses fixed .dat paths; no selected test calls read, lls_case, anova_case, univ_case or dataset suite.

Scope-specific cost: OLS dataset routes O(n*p²+p³) through stats plus independent solve; ANOVA/univariate O(N), report O(number of compared quantities). These costs are source-derived, not measured.

### models

### behavior_complement

Synthetic helper success does not certify Norris/Filip/Longley/ANOVA or UNIV thresholds. File-dependent negative controls remain unexecuted.

### reverse_reconstruction

Reported LRE rows admit many generated data sets and numerical errors; thresholds determine accepted region not unique reference values.

### design_transport

One predictor degree depends on count of certified coefficients and B0; multiple predictors use original columns; no-intercept starts power1.

### effect_boundary

read accesses fixed .dat paths; no selected test calls read, lls_case, anova_case, univ_case or dataset suite.

### branch_relation

lls_case builds intercept/polynomial/multi-predictor design and checks fitlm plus backslash output length; ANOVA expects9 outputs and exact df; univ computes autocorrelation. suite aggregates threshold failures; detail env affects printing only.

### resource_cost

OLS dataset routes O(n*p²+p³) through stats plus independent solve; ANOVA/univariate O(N), report O(number of compared quantities). These costs are source-derived, not measured.

### tests

#### Evidence boundary

See ../tests.md for the actual selected source test and mutant. These tests sample the file, not every fragment branch. Synthetic helper success does not certify Norris/Filip/Longley/ANOVA or UNIV thresholds. File-dependent negative controls remain unexecuted. Other branches here are source-derived and unexecuted unless the parent test explicitly calls them.