| 項目 | 説明 |
| ACF | 自己相関 |
| ACF.gls | gls 残差の自己相関関数 |
| ACF.lme | lme 残差の自己相関関数 |
| Alfalfa | アルファルファの多様性実験の分割プロット |
| Assay | 細胞培養プレートの生物学的検定（法）(Bioassay on Cell Culture Plate) |
| BIC | ベイズ情報規準量(Bayesian Information Criterion) |
| BIC.logLik | logLik オブジェクトのBIC |
| BodyWeight | 長期間異なった食事制限をしたラットの体重 |
| Cefamandole | Pharmacokinetics of Cefamandole |
| Coef | 値を係数に代入 |
| Covariate | 共変量値代入 |
| Covariate.varFunc | varFunc 共変量代入 |
| Dialyzer | High-Flux 血液透析器 |
| Dim | オブジェクトより、大きさ(Dimensions) を抽出 |
| Dim.corSpatial | corSpatial オブジェクトの大きさ |
| Dim.corStruct | corStruct オブジェクトの大きさ |
| Dim.pdMat | pdMat オブジェクトの大きさ |
| Earthquake | 地震強度 |
| [.pdMat | Subscript a pdMat Object |
| Fatigue | 金属疲労による亀裂 |
| Gasoline | ガソリン生成生産量(Refinery yield of gasoline) |
| Glucose | 時系列のグルコース・レベル |
| Glucose2 | アルコール摂取後のグルコース・レベル(Glucose Levels Following Alcohol Ingestion) |
| Gun | 海軍の銃の発射方法 |
| IGF | IGF-Iのたんぱく質の放射免疫測定(Radioimmunoassay of IGF-I Protein) |
| Initialize | オブジェクトの初期化 |
| Initialize.corStruct | corStruct オブジェクトの初期化 |
| Initialize.glsStruct | glsStruct オブジェクトの初期化 |
| Initialize.lmeStruct | lmeStruct オブジェクトの初期化 |
| Initialize.reStruct | reStruct オブジェクトの初期化 |
| Initialize.varFunc | varFunc オブジェクトの初期化 |
| LDEsysMat | LDEのシステム・マトリックスを生成 |
| Machines | 機械と労働者の生産性スコア(Productivity Scores for Machines and Workers) |
| MathAchSchool | School demographic data for MathAchieve |
| MathAchieve | 数学習得得点(Mathematics achievement scores) |
| Matrix | Matrix 値の代入 |
| Matrix.pdMat | オブジェクトにマトリックスを代入 |
| Matrix.reStruct | reStruct マトリックスの代入 |
| Meat | 肉の柔らかさ(Tenderness of meat) |
| Milk | 牛乳のたんぱく質分 |
| Muscle | Contraction of heart muscle sections |
| Names | Names Associated with an Object |
| Names.formula | Extract Names from a formula |
| Names.pdBlocked | Names of a pdBlocked Object |
| Names.pdMat | Names of a pdMat Object |
| Names.reStruct | Names of an reStruct Object |
| Nitrendipene | Assay of nitrendipene |
| Oats | Split-plot Experiment on Varieties of Oats |
| Orthodont | Growth curve data on an orthdontic measurement |
| Ovary | Counts of Ovarian Follicles |
| Oxboys | Oxfordの少年の身長 |
| Oxide | Variability in Semiconductor Manufacturing |
| PBG | Effect of Phenylbiguanide on Blood Pressure |
| Phenobarb | Phenobarbitol Kinetics |
| Pixel | X-ray pixel intensities over time |
| Quinidine | Quinidine Kinetics |
| Rail | Evaluation of Stress in Railway Rails |
| RatPupWeight | The weight of rat pups |
| Relaxin | Assay for Relaxin |
| Remifentanil | Pharmacokinetics of remifentanil |
| Soybean | 大豆植物(soybean plants)の成長 |
| Spruce | Growth of Spruce Trees |
| Tetracycline1 | Pharmacokinetics of tetracycline |
| Tetracycline2 | Pharmacokinetics of tetracycline |
| VarCorr | 相関成分の分散の抽出 |
| Variogram | セミバリオグラム計算 |
| Variogram.corExp | CalccorExp オブジェクトのセミバリオグラムの計算 |
| Variogram.corGaus | corGaus オブジェクトのセミバリオグラムの計算 |
| Variogram.corLin | corLin オブジェクトのセミバリオグラムの計算 |
| Variogram.corRatio | corRatio オブジェクトのセミバリオグラムの計算 |
| Variogram.corSpatial | corSpatial オブジェクトのセミバリオグラムの計算 |
| Variogram.corSpher | corSpher オブジェクトのセミバリオグラムの計算 |
| Variogram.default | セミバリオグラムの計算 |
| Variogram.gls | gls オブジェクトより残差のセミバリオグラムの計算 |
| Variogram.lme | lme オブジェクトより残差のセミバリオグラムの計算 |
| Wafer | Modeling of Analog MOS Circuits |
| Wheat | Yields by growing conditions |
| Wheat2 | Wheat Yield Trials |
| allCoef | Extract Coefficients from a Set of Objects |
| anova.gls | Compare Likelihoods of Fitted Objects |
| anova.lme | Compare Likelihoods of Fitted Objects |
| as.matrix.corStruct | Matrix of a corStruct Object |
| as.matrix.pdMat | Matrix of a pdMat Object |
| as.matrix.reStruct | Matrices of an reStruct Object |
| asOneFormula | Combine Formulas of a Set of Objects |
| asTable | Convert groupedData to a matrix |
| augPred | Augmented Predictions |
| balancedGrouped | Create a groupedData object from a matrix |
| bdf | Language scores |
| coef.corStruct | Coefficients of a corStruct Object |
| coef.gnls | Extract gnls Coefficients |
| coef.lmList | Extract lmList Coefficients |
| coef.lme | Extract lme Coefficients |
| coef.modelStruct | Extract modelStruct Object Coefficients |
| coef.pdMat | pdMat Object Coefficients |
| coef.reStruct | reStruct Object Coefficients |
| coef.varFunc | varFunc Object Coefficients |
| collapse | Collapse According to Groups |
| collapse.groupedData | Collapse a groupedData Object |
| compareFits | Compare Fitted Objects |
| comparePred | 予測値の比較 |
| contr.SAS | Contrast Matrices |
| corAR1 | AR(1) 相関構造 |
| corARMA | ARMA(p,q) 相関構造 |
| corCAR1 | 連続的AR(1) 相関構造 |
| corClasses | 相関構造クラス |
| corCompSymm | 複合対称相関構造 |
| corExp | 指数相関構造 |
| corFactor | 相関行列のファクター |
| corFactor.corStruct | corStruct オブジェクト・マトリックスのファクター |
| corGaus | ガウス相関構造 |
| corLin | 線形相関構造 |
| corMatrix | 相関マトリックスの抽出 |
| corMatrix.corStruct | corStruct オブジェクト・マトリックス |
| corMatrix.pdMat | Extract Correlation Matrix from a pdMat Object |
| corMatrix.reStruct | Extract Correlation Matrix from Components of an reStruct Object |
| corNatural | General correlation in natural parameterization |
| corRatio | Rational Quadratic Correlation Structure |
| corSpatial | 空間相関構造 |
| corSpher | Spherical Correlation Structure |
| corSymm | General Correlation Structure |
| ergoStool | Ergometrics experiment with stool types |
| fdHess | Finite difference Hessian |
| fitted.glsStruct | Calculate glsStruct Fitted Values |
| fitted.gnlsStruct | Calculate gnlsStruct Fitted Values |
| fitted.lmList | Extract lmList Fitted Values |
| fitted.lme | Extract lme Fitted Values |
| fitted.lmeStruct | Calculate lmeStruct Fitted Values |
| fitted.nlmeStruct | Calculate nlmeStruct Fitted Values |
| fixed.effects | Extract Fixed Effects |
| fixef.lmList | Extract lmList Fixed Effects |
| formula.pdBlocked | Extract pdBlocked Formula |
| formula.pdMat | Extract pdMat Formula |
| formula.reStruct | Extract reStruct Object Formula |
| gapply | Apply a Function by Groups |
| getCovariate | Extract Covariate from an Object |
| getCovariate.corStruct | Extract corStruct Object Covariate |
| getCovariate.data.frame | Extract Data Frame Covariate |
| getCovariate.varFunc | Extract varFunc Covariate |
| getCovariateFormula | Extract Covariates Formula |
| getData | Extract Data from an Object |
| getData.gls | Extract gls Object Data |
| getData.lmList | Extract lmList Object Data |
| getData.lme | Extract lme Object Data |
| getGroups | Extract Grouping Factors from an Object |
| getGroups.corStruct | Extract corStruct Groups |
| getGroups.data.frame | Extract Groups from a Data Frame |
| getGroups.gls | Extract gls Object Groups |
| getGroups.lmList | Extract lmList Object Groups |
| getGroups.lme | Extract lme Object Groups |
| getGroups.varFunc | Extract varFunc Groups |
| getGroupsFormula | Extract Grouping Formula |
| getResponse | Extract Response Variable from an Object |
| getResponseFormula | Extract Formula Specifying Response Variable |
| getVarCov | Extract variance-covariance matrix |
| gls | Fit Linear Model Using Generalized Least Squares |
| glsControl | Control Values for gls Fit |
| glsObject | Fitted gls Object |
| glsStruct | 一般化最小二乗構造 |
| gnls | Fit Nonlinear Model Using Generalized Least Squares |
| gnlsControl | Control Values for gnls Fit |
| gnlsObject | Fitted gnls Object |
| gnlsStruct | Generalized Nonlinear Least Squares Structure |
| groupedData | Construct a groupedData Object |
| gsummary | Summarize by Groups |
| intervals | Confidence Intervals on Coefficients |
| intervals.gls | Confidence Intervals on gls Parameters |
| intervals.lmList | Confidence Intervals on lmList Coefficients |
| intervals.lme | Confidence Intervals on lme Parameters |
| isBalanced | Check a Design for Balance |
| isInitialized | Check if Object is Initialized |
| lmList | List of lm Objects with a Common Model |
| lmList.groupedData | lmList Fit from a groupedData Object |
| lme | Linear Mixed-Effects Models |
| lme.groupedData | LME fit from groupedData Object |
| lme.lmList | LME fit from lmList Object |
| lmeControl | Control Values for lme Fit |
| lmeObject | Fitted lme Object |
| lmeScale | Scale for lme Optimization |
| lmeStruct | Linear Mixed-Effects Structure |
| logDet | Extract the Logarithm of the Determinant |
| logDet.corStruct | Extract corStruct Log-Determinant |
| logDet.pdMat | Extract Log-Determinant from a pdMat Object |
| logDet.reStruct | Extract reStruct Log-Determinants |
| logLik.corStruct | Extract corStruct Log-Likelihood |
| logLik.glsStruct | Log-Likelihood of a glsStruct Object |
| logLik.gnls | Log-Likelihood of a gnls Object |
| logLik.gnlsStruct | Log-Likelihood of a gnlsStruct Object |
| logLik.lmList | Log-Likelihood of an lmList Object |
| logLik.lme | Log-Likelihood of an lme Object |
| logLik.lmeStruct | Log-Likelihood of an lmeStruct Object |
| logLik.reStruct | Calculate reStruct Log-Likelihood |
| logLik.varFunc | Extract varFunc logLik |
| model.matrix.reStruct | reStruct Model Matrix |
| needUpdate | Check if Update is Needed |
| needUpdate.modelStruct | Check if a modelStruct Object Needs Updating |
| nlme | Nonlinear Mixed-Effects Models |
| nlme.nlsList | NLME fit from nlsList Object |
| nlmeControl | Control Values for nlme Fit |
| nlmeObject | Fitted nlme Object |
| nlmeStruct | Nonlinear Mixed-Effects Structure |
| nlsList | List of nls Objects with a Common Model |
| nlsList.selfStart | nlsList Fit from a selfStart Function |
| pairs.compareFits | Pairs Plot of compareFits Object |
| pairs.lmList | Pairs Plot of an lmList Object |
| pairs.lme | Pairs Plot of an lme Object |
| pdBlocked | Positive-Definite Block Diagonal Matrix |
| pdClasses | Positive-Definite Matrix Classes |
| pdCompSymm | Positive-Definite Matrix with Compound Symmetry Structure |
| pdConstruct | pdMat オブジェクトの構築 |
| pdConstruct.pdBlocked | Construct pdBlocked Objects |
| pdDiag | Diagonal Positive-Definite Matrix |
| pdFactor | Square-Root Factor of a Positive-Definite Matrix |
| pdFactor.reStruct | Extract Square-Root Factor from Components of an reStruct Object |
| pdIdent | Multiple of the Identity Positive-Definite Matrix |
| pdLogChol | General Positive-Definite Matrix |
| pdMat | Positive-Definite Matrix |
| pdMatrix | Extract Matrix or Square-Root Factor from a pdMat Object |
| pdMatrix.reStruct | Extract Matrix or Square-Root Factor from Components of an reStruct Object |
| pdNatural | General Positive-Definite Matrix in Natural Parametrization |
| pdSymm | General Positive-Definite Matrix |
| phenoModel | Model function for the Phenobarb data |
| plot.ACF | ACF オブジェクトのプロット |
| plot.Variogram | バリオグラム・オブジェクトのプロット |
| plot.augPred | augPred オブジェクトのプロット |
| plot.compareFits | compareFits オブジェクトのプロット |
| plot.gls | gls オブジェクトのプロット |
| plot.intervals.lmList | lmList 信頼区間のプロット |
| plot.lmList | lmList オブジェクトのプロット |
| plot.lme | lme または nls オブジェクトのプロット |
| plot.nffGroupedData | nffGroupedData オブジェクトのプロット |
| plot.nfnGroupedData | nfnGroupedData オブジェクトのプロット |
| plot.nmGroupedData | nmGroupedData オブジェクトのプロット |
| plot.ranef.lmList | ranef.lmList オブジェクトのプロット |
| plot.ranef.lme | ranef.lme オブジェクトのプロット |
| pooledSD | 合併標準偏差(Pooled Standard Deviation)の抽出 |
| predict.gls | gls オブジェクトの予測 |
| predict.gnls | gnls オブジェクトの予測 |
| predict.lmList | lmList オブジェクトの予測 |
| predict.lme | lme オブジェクトの予測 |
| predict.nlme | nlme オブジェクトの予測 |
| print.summary.pdMat | summary.pdMat オブジェクトのプリント |
| print.varFunc | varFunc オブジェクトのプリント |
| qqnorm.gls | gls オブジェクトの残差の正規プロット（Normal Plot） |
| qqnorm.lme | Normal Plot of Residuals or Random Effects from an lme Object |
| quinModel | Model function for the Quinidine data |
| random.effects | ランダムの効果の抽出 |
| ranef.lmList | lmList ランダムの効果の抽出 |
| ranef.lme | lme ランダムの効果の抽出 |
| reStruct | ランダムの効果の構造 |
| recalc | 線形モデルオブジェクトの再計算 |
| recalc.corStruct | corStruct オブジェクトの再計算 |
| recalc.modelStruct | modelStruct オブジェクトの再計算 |
| recalc.reStruct | reStruct オブジェクトの再計算 |
| recalc.varFunc | varFunc オブジェクトの再計算 |
| residuals.gls | gls 残差の抽出 |
| residuals.glsStruct | glsStruct 残差の計算 |
| residuals.gnlsStruct | gnlsStruct 残差の計算 |
| residuals.lmList | lmList 残差の抽出 |
| residuals.lme | lme 残差の抽出 |
| residuals.lmeStruct | lmeStruct 残差の計算 |
| residuals.nlmeStruct | nlmeStruct 残差の計算 |
| simulate.lme | lme モデルのシミュレート |
| solve.pdMat | Calculate Inverse of a Positive-Definite Matrix |
| solve.reStruct | Apply Solve to an reStruct Object |
| splitFormula | 式を分割する |
| summary.corStruct | corStruct オブジェクトの要約 |
| summary.gls | gls オブジェクトの要約 |
| summary.lmList | lmList オブジェクトの要約 |
| summary.lme | lme オブジェクトの要約 |
| summary.modelStruct | modelStruct オブジェクトの要約 |
| summary.nlsList | nlsList オブジェクトの要約 |
| summary.pdMat | pdMat オブジェクトの要約 |
| summary.varFunc | varFunc オブジェクトの要約 |
| update.modelStruct | modelStruct オブジェクトの更新 |
| update.varFunc | varFunc オブジェクトの更新 |
| varClasses | 分散関数クラス |
| varComb | 分散関数の組み合わせ |
| varConstPower | 定数＋パワー分散関数 |
| varExp | 指数分散関数 |
| varFixed | 固定分散関数(Fixed Variance Function) |
| varFunc | 分散関数構造(Variance Function Structure) |
| varIdent | Constant Variance Function |
| varPower | パワー分散関数(Power Variance Function) |
| varWeights | 分散関数のウェイトの抽出 |
| varWeights.glsStruct | glsStruct オブジェクトの分散ウェイト |
| varWeights.lmeStruct | lmeStruct オブジェクトの分散ウェイト |
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