Provides tools for determining estimability of linear functions 
  of regression coefficients, and 'epredict' methods that handle 
  non-estimable cases correctly. Estimability theory is discussed in
  many linear-models textbooks including Chapter 3 of Monahan, JF (2008), 
  "A Primer on Linear Models", Chapman and Hall (ISBN 978-1-4200-6201-4).

Performs analyzes and estimates of environmental covariates 
    and genetic parameters related to selection strategies and development 
    of superior genotypes. It has two main functionalities, the first being 
    about prediction models of covariates and environmental processes, while 
    the second deals with the estimation of genetic parameters and selection 
    strategies. Designed for researchers and professionals in genetics and 
    environmental sciences, the package combines statistical methods
    for modeling and data analysis. This includes the plastochron estimate 
    proposed by Porta et al. (2024) <doi:10.1590/1807-1929/agriambi.v28n10e278299>,
    Stress indices for genotype selection referenced by Ghazvini et al. (2024)
    <doi:10.1007/s10343-024-00981-1>, the Environmental Stress Index described by
    Tazzo et al. (2024) <https://revistas.ufg.br/vet/article/view/77035>,
    industrial quality indices of wheat genotypes (Szareski et al., 2019), 
    <doi:10.4238/gmr18223>, Ear Indexes estimation (Rigotti et al., 2024),
    <doi:10.13083/reveng.v32i1.17394>, Selection index for protein and grain yield
    (de Pelegrin et al., 2017), <doi:10.4236/ajps.2017.813224>, Estimation of the
    ISGR - Genetic Selection Index for Resilience for environmental resilience
    (Bandeira et al., 2024) <https://www.cropj.com/Carvalho_18_12_2024_825_830.pdf>,
    estimation of Leaf Area Index (Meira et al., 2015) 
    <https://www.fag.edu.br/upload/revista/cultivando_o_saber/55d1ef202e494.pdf>,
    Restriction of control variability (Carvalho et al., 2023) 
    <doi:10.4025/actasciagron.v45i1.56156>, Risk of Disease Occurrence in Soybeans
    described by Engers et al. (2024) <doi:10.1007/s40858-024-00649-1> and 
    estimation of genetic parameters for selection based on balanced experiments
    (Yadav et al., 2024) <doi:10.1155/2024/9946332>.