Function validate_regression_data 

pub fn validate_regression_data(y: &[f64], x_vars: &[Vec<f64>]) -> Result<()>

Validates regression input data for dimensions and finite values.

This is a high-performance validation function that checks:

1. All predictor variables have the same length as the response
2. Response variable contains no NaN or infinite values
3. All predictor variables contain no NaN or infinite values

Uses explicit loops for maximum performance (no closure overhead).

Arguments

• y - Response variable (n observations)
• x_vars - Predictor variables (each expected to have length n)

Returns

Ok(()) if all validations pass, otherwise an error indicating the specific issue.

Errors

• Error::DimensionMismatch - if any x_var has different length than y
• Error::InvalidInput - if y or x_vars contain NaN or infinite values

Examples

use linreg_core::diagnostics::helpers::validate_regression_data;

let y = vec![1.0, 2.0, 3.0];
let x1 = vec![1.0, 2.0, 3.0];
let x2 = vec![2.0, 4.0, 6.0];

validate_regression_data(&y, &[x1, x2])?;