When comparing a linear mixed model (LMM) to a generalized linear model (GLM), what key feature is unique to LMMs? GLMs are more suitable for analyzing continuous outcomes GLMs can handle non-linear relationships, while LMMs cannot O LMMs can accommodate correlated errors due to repeated measures or clustering LMMs rely solely on fixed effects without incorporating random effects