<?php
$lang->glm = new stdclass();
$lang->glm->response     = 'Response';
$lang->glm->factor       = 'Factor';
$lang->glm->covariate    = 'Covariate';
$lang->glm->responseCol  = 'Response column';
$lang->glm->factorCol    = 'Factor column';
$lang->glm->covariateCol = 'Covariate column';
$lang->glm->factorInfo   = 'Factor information';
$lang->glm->type         = 'Type';
$lang->glm->level        = 'Level number';
$lang->glm->value        = 'Value';
$lang->glm->fixed        = 'Fixed';
$lang->glm->tableTitle   = 'ANOVA';
$lang->glm->regression   = 'Regression';
$lang->glm->deviation    = 'Error';
$lang->glm->lostFit      = 'Lost fit';
$lang->glm->pureError    = 'Pure error';
$lang->glm->total        = 'Total';
$lang->glm->source       = 'Resource';
$lang->glm->freedom      = 'Freedom';
$lang->glm->factorTitle  = 'Factor';
$lang->glm->item         = 'Item';
$lang->glm->factor       = 'Factor';
$lang->glm->factorError  = 'Factor error';
$lang->glm->factorAnova  = 'Factor of anova';
$lang->glm->common       = 'Common';
$lang->glm->tableTitle   = 'ANOVA';
$lang->glm->regression   = 'Regression';
$lang->glm->deviation    = 'Error';
$lang->glm->lostFit      = 'Lost fit';
$lang->glm->pureError    = 'Pure error';
$lang->glm->total        = 'Total';
$lang->glm->source       = 'Resource';
$lang->glm->freedom      = 'Freedom';
$lang->glm->textTitle    = 'Regression equation';
$lang->glm->levelGroup   = 'Level group';
$lang->glm->regression   = 'Regression equation';
$lang->glm->modelTitle   = 'Model summary';
$lang->glm->RsqAdjust    = 'R-Sq(adjust)';
$lang->glm->RsqPre       = 'R-Sq(prediction)';
$lang->glm->testTitle    = 'Diagnosis of abnormal observations';
$lang->glm->observed     = 'Observed value';
$lang->glm->fitValue     = 'Fitting value';
$lang->glm->residual     = 'Residual';
$lang->glm->sdResidual   = 'Standard residual';
$lang->glm->rDesc        = 'R large residual';
$lang->glm->xDesc        = 'X Unexcept X';

$lang->glm->errorRowEqual = 'The response, factor, and covariate columns have the same number of rows and do not contain null values.';
$lang->glm->errorIsNumber = 'The response and covariate columns must be numeric columns with equal rows.';
$lang->glm->errorClassify = 'The factor column must have more than one distinguishable category value.';
$lang->glm->errorNull     = 'The factor column must be non-empty.';
$lang->glm->atLeastOneCol = 'Fill in at least one item for factor and covariate.';
