This document presents an analysis of the Titanic dataset focusing on statistical matrices and dimensionality reduction techniques. The dataset is sourced from Kaggle.

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Provides a unified framework for quantifying holobiont-level redox resilience by integrating plant physiological traits, soil redox chemistry, and microbial features into a single interpretable index. The package implements the Redox Resilience Index (RRI), a weighted composite metric grounded in redox biogeochemistry, microbial ecology, and systems biology. Multivariate indicators from each domain are reduced to normalized one-dimensional latent scores using flexible dimension-reduction methods, including principal component analysis, factor analysis, nonlinear embeddings, and co-expression or network- based approaches. Microbial resilience can be represented as a blended component combining abundance or functional composition with network organization metrics. The framework supports spatial and temporal experimental designs and includes fully simulated example data for demonstration and testing purposes only.

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